News Extraction 2017


extract news / extracting news / extraction from news / extraction of news / news extracting / news extraction

Notes:

Information extraction of news is closely aligned with automatic summarization, if not a sub-task.

  • Argument extraction
  • Automatic news extraction
  • Event extraction
  • Keyword Extraction (Keywords extraction)
  • News extracting system
  • News frames
  • Sentence extraction
  • Snippet extraction

Resources:

  • dctfinder .. parses a web page and extracts title and the creation date
  • texminer .. uses text mining methods to analyze plain text or pdf
  • tree-edit-distance .. measuring similarity of tree structured data using the tree edit distance

References:

Wikipedia:

See also:

Extract Transform LoadOpen Information Extraction


Automatic extraction of news values from headline text
A Piotrkowicz, V Dimitrova, K Markert – … at the 15th Conference of the …, 2017 – aclweb.org
Abstract Headlines play a crucial role in attracting audiences’ attention to online artefacts (eg news articles, videos, blogs). The ability to carry out an automatic, largescale analysis of headlines is critical to facilitate the selection and prioritisation of a large volume of digital

Multilingual news extraction via stopword language model scoring
YC Wu – Journal of Intelligent Information Systems, 2017 – Springer
Abstract Web news provides a quick and convenient means to create collections of large documents. The creation of a web news corpus has typically required the construction of a set of HTML parsing rules to identify content text. In general, these parsing rules are written

A Study On Skin Tone Based ROI Segmentation To Extract News-Reader Region From Hearing Impaired News Videos
V Deepa, PK Priya – ijesrt.com
ABSTRACT In this research article, the video segmentation based on skin color using Region of Interest is presented. The objective of the research is capturing the sign words from the deaf and dumb news videos and preparing textual information. By default, video

Stock Prediction: a method based on extraction of news features and recurrent neural networks
Z Zhang, W Chen, H Yan – arXiv preprint arXiv:1707.07585, 2017 – arxiv.org
Abstract: This paper proposed a method for stock prediction. In terms of feature extraction, we extract the features of stock-related news besides stock prices. We first select some seed words based on experience which are the symbols of good news and bad news. Then we

Implementation of template independent web news extraction approach, noise removal and structured data detection to improve search for location based services
RJR Raj, P SundeepTeja… – Power and …, 2017 – ieeexplore.ieee.org
Web contains a colossal volume and assortment of information so we have to remove the significant information from it. Distinctive strategies and devices are utilized to concentrate information like DOM parsers, fluffy Algorithms, label proportions and numerous more layout

Year of Publication: 2016
M Brindha, R Amsaveni – pdfs.semanticscholar.org
Page 1. Anchor Person Detection using Haar-Like Feature Extraction from News Videos {tag} {/tag … the 1 / 3 Page 2. Anchor Person Detection using Haar-Like Feature Extraction from News Videos accuracy of face detection. Finally …

Unify Framework for Crime Data Summarization using RSS Feed Service
T NETSUWAN, K KESORN – Walailak Journal of Science and …, 2017 – wjst.wu.ac.th
… http://wjst.wu.ac.th Walailak J Sci & Tech 2017; 14(10) 770 support decision making of police officers by constructing the crime news extraction and analytics system which includes several functions as follows … Figure 1 Online crime news extraction and analysis framework …

Headlines corpora with automatically extracted news values scores.
A Piotrkowicz – 2017 – archive.researchdata.leeds.ac.uk
… This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The first stage of the project was to develop methods of automatically extracting news values scores, which offer a new perspective on analysing headlines …

Extractiond Method of Vietnamese News Event Elements Based on Maximum Entropy
Z Feng, M Jiepu, P Qingqing, Y Xin… – Journal of Data …, 2017 – en.cnki.com.cn
… news event element extraction based on maximum entropy model.This method selects the context,adjacent trigger words and neighboring entities as features,delimits feature templates,trains Vietnamese news events model and achieves the extraction of news event …

DemandMiner: Extraction and Visualization of Product Demands from Open Web
T Dasgupta, L Dey, A Naskar, R Saha, I Verma… – Proceedings of the 13th …, 2017 – dl.acm.org
… Information components extraction from news documents are time-stamped … In this paper, we have developed the DemandMiner system that can be used to extract news articles reporting demand of a particular product and serve them to end-users in a contextually relevant way …

Topic Modeling on Online News and News Clustering
A Sahni, S Palwe – ijcea.com
… Such models ordinarily will be Page 2. TOPIC MODELING ON ONLINE NEWS EXTRACTION Aashka Sahni and Prof. Sushila Palwe 2 … Page 4. TOPIC MODELING ON ONLINE NEWS EXTRACTION Aashka Sahni and Prof. Sushila Palwe 4 …

Building a Dynamic News Category Network for News Sources Recommendations
S Gupta, S Sodhani, D Patel, B Banerjee – World Academy of Science …, 2017 – waset.org
… Extracting news categories automatically from numerous online news sources is expected to be helpful in many applications including news source … As a remedy, we propose an approach to automatically extract news category URLs from news websites in this paper …

Towards better news article recommendation
Y Meguebli, M Kacimi, BL Doan, F Popineau – World Wide Web, 2017 – Springer
… In this article, we propose an approach for aspect extraction from news articles and user comments on media platforms, tackling the problems above … Section 5 presents our approach for aspect extraction from news content and user comments …

STATE OF THE ART OF WEB NEWS MINING
D Nithya, S Sivakumari – ijcea.com
… In first task, extract news related articles (contents and titles) … Finally topic trajectories were generated in textual and visual data in news video. Yu-ChiehWu [5] discussed about language independent web news extraction system based on text detection framework …

Research review on key techniques of topic-based news elements extraction
S Qing, Z Ying, Z Pengzhou – Computer and Information …, 2017 – ieeexplore.ieee.org
… Topic-based Elements Extraction of news method that based on thematic event frame, the relationship between the event elements is stored in … event elements and relational instances in the same thematic news text, realize topic-based knowledge of news extraction and storage …

Joint Learning of Structural and Textual Features for Web Scale Event Extraction.
J Wiedmann – AAAI, 2017 – aaai.org
… For example, (Wang et al. 2009) proposes an ap- proach for learning to extract news articles and their basic attributes from a very small training corpus. Though inspired by this work, the approach presented here differs consider- ably, in scope and techniques used …

Time-Ordered Collaborative Filtering for News Recommendation
A Mane, S Dixit, M Patil, S Mandal, J Raghatvan… – 2017 – irjet.net
… advertisements and other links. Recommendation of top news done after user to user collaborative filtering. Previous applications require lot of human involvement for news extraction and recommendation, which reduces the scalability …

Extracting Web Content by Exploiting Multi-Category Characteristics
Q Wang, Q Yang, J Zhang, R Zhou, Y Zhang – International Conference on …, 2017 – Springer
… Wu et al. [8] defined tag path edit distance and tag path ratios to extract news from web pages … 773–784. ACM, New York (2016)Google Scholar. 7. Reis, DC, Golgher, PB, Silva, AS, Laender, AF: Automatic web news extraction using tree edit distance …

Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
J An, H Kwak – International Conference on Social Informatics, 2017 – Springer
… We extract news items whose title contained the word “MERS”, which results in 961 news items … We find that all are relevant to the MERS. This indicates that our method can extract news items even when the title of news does not include a key topic word …

Automated assistants to identify and prompt action on visual news bias
V Narwal, MH Salih, JA Lopez, A Ortega… – arXiv preprint arXiv …, 2017 – arxiv.org
… Other sys- tems extract news stories from different sources to try and help people to consider a story from different viewpoints and formulate a more balanced perspective [11, 3, 7]. While these tools do offer a relative ease to detect possible biases in news, they are not …

Supervised algorithms for complex relation extraction
G Khirbat – 2017 – minerva-access.unimelb.edu.au
Page 1. THE UNIVERSITY OF MELBOURNE Supervised Algorithms for Complex Relation Extraction Gitansh Khirbat A thesis submitted in total fulfillment for the degree of Master of Philosophy in the School of Computing and …

Improving Opinion Mining by Classifying Facts and Opinions in Twitter
S Chatterjee, S Deng, J Liu – 2017 – aisel.aisnet.org
… facts and opinion. Applications that focus on extracting news and facts and those that aim to extract users’ perceptions and opinions both share the same data corpus with a mixture of facts and opinions. Addressing this need …

Implementation of the Writing Activity Focusing on 5W1H Questions: An Approach to Improving Student Writing Performance
K Tsuji – LET Journal of Central Japan, 2017 – jstage.jst.go.jp
… professions and universities in the world. It is an effective procedure to gather information (Shimazu, Arisawa & Saito, 2006), make a summary (Nakazawa & Oka, 2001), write an academic thesis (Regoniel, 2016), and extract news articles (Wang, Zhao & Wang, 2010) …

Hierarchical Summarization of News Tweets with Twitter-LDA
N Akhtar – Applications of Soft Computing for the Web, 2017 – Springer
… concert. In some instances, Twitter is faster to spread news than traditional news media in emergency situations like earthquake [2]. Several works have been done to extract news from Twitter data or stream. A newsworthiness …

Statistical Modeling Of Stance Detection
B Mavrin – 2017 – era.library.ualberta.ca
… 1 Page 9. as of July 2009 is presented in [25]. As it was shown in [36] clustering tweets provides the means of extracting news from Twitter. Breaking news detection was considered to be the next challenge at that time. Recently, a case study published in [29] showed that …

news-please
F Hamborg, N Meuschke, C Breitinger, B Gipp – 2017 – edoc.hu-berlin.de
… news-please is an open-source news crawler and extractor written in Python developed to meet five requirements: (1) broad coverage – extract news from any outlet’s website, (2) full website extraction, (3), high quality of extracted information, (4) ease of use – simple initial …

Prediction of Energy Storage Areas for Static Photovoltaic System Using Irradiation and Regression Modelling
K Sarda, B Shingote – World Academy of Science, Engineering and …, 2017 – waset.org
… Extracting news categories automatically from numerous online news sources is expected to be helpful in many applications including news source … As a remedy, we propose an approach to automatically extract news category URLs from news websites in this paper …

Identifying Suspicious Cases in the Hong Kong Stock Market Using Commentators’ Stock News
L Quan, J Lai – International Conference on Genetic and Evolutionary …, 2017 – Springer
… Node.js is a JavaScript runtime built on Chrome’s V8 JavaScript engine [4]. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient. So, we choose this language as solution to extract news …

A STUDY ON THE IMPACT OF SOCIAL MEDIA
T Vinothini, JG Jayanthi, CA Pushpam – ijcrcst.com
… In [13] the authors have presented a visual analytic tool, Vox Civitas, designed to help journalists and media professionals extract news value from large-scale aggregations of social media content around broadcast events …

Semantic Approach to Web-Based Discovery of Unknowns to Enhance Intelligence Gathering
N Danilova, D Stupples – Ontologies and Big Data …, 2017 – books.google.com
… Anothernoteworthy methodisthe ‘Pattern-based Understanding and Learning System'(PULS) which is designed to extract news information from several domains (Huutunen et al, 2012). Its Web-crawler finds relevant articles using a keyword-based Web-search …

Comparative analysis and review of interactive voice response systems
IA Inam, AA Azeta, O Daramola – … Technology and Society …, 2017 – ieeexplore.ieee.org
… IVR for Agricultural Assistance (AGRO) [46] ASR, VXML, PSTN, VOIP ? ? MySQL database IVR News Extraction [38] DTMF, TTS ? MySQL database … R. Sharma, N. Dubey, N. Thoutam, and S. Pathan, “IVRS Based News Extracting System” …

Revisions in utilization-adjusted TFP and robust identification of news shocks
A Kurmann, E Sims – 2017 – nber.org
… forecast horizons. So long as any mismeasurement of productivity is transient, our identification should extract news shocks independent of whether adjusted TFP is confounded by measurement error, and independent of whether …

The Automatic Extraction of Web Information Based on Regular Expression.
L Ji, J Guangyu, X Aijun, W Yunzhen – JSW, 2017 – pdfs.semanticscholar.org
… Generally speaking, the need to extract news information are News headlines, news links and news published time etc, by analyzing the different browser search layout features of news information results in the DOM tree, its label order by news links, news headlines and news …

Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics
FA Kunneman, U Iñurrieta, JJ Camilleri, MC Ardanuy – 2017 – repository.ubn.ru.nl
… 17:30–19:30 A Computational Model of Human Preferences for Pronoun Resolution Olga Seminck and Pascal Amsili 17:30–19:30 Automatic Extraction of News Values from Headline Text Alicja Piotrkowicz, Vania Dimitrova and Katja Markert …

Using Uncertain Graphs to Automatically Generate Event Flows from News Stories
L Christiansen, B Mobasher, R Burke – ceur-ws.org
… In [10], events are automatically pulled from streaming news data; news relations are extracted then clustered to find different representations of the same event before training a model to extract news relations based on that co-reference in- formation …

Emerging economies business cycles: The role of commodity terms of trade news
NB Zeev, E Pappa, A Vicondoa – Journal of International Economics, 2017 – Elsevier
… Roache and Erbil, 2010). 1. Given the shortcomings of employing zero impact restrictions, we employ an alternative identification strategy for extracting news about TOT movements in the data. Our identification strategy relies …

Structural and semantic proximity in information networks
V Franzoni, A Milani – … Conference on Computational Science and Its …, 2017 – Springer
… In order to define a framework for semantic context generation, a suitable knowledge source is needed, providing semantic relationships among concepts, and a suitable technique for extracting news concepts related, relevant and consistent with respect to the initial seed …

Exploiting Tri-Relationship for Fake News Detection
K Shu, S Wang, H Liu – arXiv preprint arXiv:1712.07709, 2017 – arxiv.org
… In essence, we need to address the following challenges (1) how to mathematically model the tri-relationship to extract news feature represen- tations; and (2) how to take the advantage of tri-relationship learning for fake news detection …

Correlations and Flow of Information between The New York Times and Stock Markets
A García-Medina, LS Junior, EU Bañuelos… – arXiv preprint arXiv …, 2017 – arxiv.org
… The set of news was extracted in relation with every country listed in Table 1. The Bloomberg symbols of the related world financial indices are also listed in table 1. The news extraction was made in the coordinated universal time (UTC), while the time request of the closing …

Urban Activity Explorer: Visual analytics and planning support systems
A Karduni, I Cho, G Wessel, W Dou, W Ribarsky… – … on Computers in Urban …, 2017 – Springer
… (2012) to sense and tell the story of Occupy Wall Street protest events. Other notable applications of social media data include news extraction for journalistic inquiry (Diakopoulos et al. 2010), situational awareness and crisis management (MacEachren et al …

Understanding and detecting supporting arguments of diverse types
X Hua, L Wang – arXiv preprint arXiv:1705.00045, 2017 – arxiv.org
… Existing work focuses on argu- ment extraction from news articles, legal docu- ments, or online comments without given user- specified claim (Moens et al., 2007; Palau and Moens, 2009; Mochales and Moens, 2011; Park and Cardie, 2014) …

Emotions Matter: Sentiment and Momentum in Foreign Exchange
MW Uhl – Journal of Behavioral Finance, 2017 – Taylor & Francis
… 1139–1168.[CrossRef], [Web of Science ®] [Google Scholar]] study, the means to extract news sentiment have become more complex and sophisticated, drawing from natural language processing algorithms that are able to account for not only positive and negative words, but …

Neural Networks for Fine-grained Entity Type Classification
S Shimaoka – 2017 – cl.ecei.tohoku.ac.jp
… omy and so on). Information extraction aims to extract structured information from unstructured text. An example is the extraction from news articles about corporate mergers. Organizing such information in formal knowledge base makes it possible to …

Emotional Mining: Tagging Emoticons to Online News
V Kasinathan, A Mustapha, LZ Yong… – IOP Conference Series …, 2017 – iopscience.iop.org
… 3.1. News Extraction The EMticons system gather the news data from online news web portals and store them in an XML format, separated by different XML tags. Figure 4 and Figure 5 show the actual news as input to EMticons and the extracted news in XML tags, respectively …

Discovering Reader’s Emotions Triggered from News Articles
JH Wang, HY Liu – Proceedings of the 4th Multidisciplinary International …, 2017 – dl.acm.org
… Then, the training set and test set are randomly separated for further processing. For feature extraction from news content, punctuation marks, page links, and reporter names are first removed. Then, different units of text feature representations are extracted …

Design, development, and usability evaluation of a system for adding and editing social media banners in the immersive street-level 3D virtual city
M Badri, M Pakanen, P Alavesa… – Virtual Worlds and …, 2017 – ieeexplore.ieee.org
… Diakopoulos et al. [18] presents a visual analytic tool, Vox Civitas, designed to help journalists and media professionals extract news value from large-scale aggregations of social media content around broadcast events. The …

An event timeline extraction method based on news corpus
Y Wu, H Sun, C Yan – Big Data Analysis (ICBDA), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… significance. The existing methods of extracting news event, which starts from the time element, is to identify the date sentences hold by Natural Language Processing and extract the event on the date by Text Clustering. However …

Exploiting User-Generated Content to Enrich Web Document Summarization
MT Nguyen, DV Tran, CX Tran… – International Journal on …, 2017 – World Scientific
… as preliminary steps, and then builds a dual wing factor graph model for extracting summaries.3 Another study uses learning to rank (L2R) trained by RankBoost30 with a set of features in- cluding local sentence, local tweet, and cross features for extracting news highlight …

News trends and web search query of HIV/AIDS in Hong Kong
APY Chiu, Q Lin, D He – PloS one, 2017 – journals.plos.org
… for MSM). News trends. For news trends, we used WiseNews database as a news extraction tool. WiseNews is a database of newspapers, magazines, journals and newswires published in Hong Kong and other countries. The …

EMMBTT: A Novel Event Evolution Model Based on TFxIEF and TDC in Tracking News Streams
P Zhou, B Wu, Z Cao – Data Science in Cyberspace (DSC) …, 2017 – ieeexplore.ieee.org
… People get lost in the information explosion. Although the existing methods are able to extract news reports according to key words, and aggregate news reports into stories or events, they just list the related reports or events in order …

Towards Automatic Assessment of Argumentation in Theses Justifications
JM García-Gorrostieta, A López-López… – European Conference …, 2017 – Springer
… Comput. Appl. Eng. Educ. 23(4), 638–644 (2015)CrossRefGoogle Scholar. 11. Goudas, T., Louizos, C., Petasis, G., Karkaletsis, V.: Argument extraction from news, blogs, and social media … Sardianos, C., Katakis, IM, Petasis, G., Karkaletsis, V.: Argument extraction from news …

Towards Automatic Assessment of Argumentation in Theses Justifications
S González-López – Data Driven Approaches in Digital Education …, 2017 – books.google.com
… Comput. Appl. Eng. Educ. 23 (4), 638–644 (2015) Goudas, T., Louizos, C., Petasis, G., Karkaletsis, V.: Argument extraction from news, blogs, and social media … 28. 29. 30. 31. 32. Sardianos, C., Katakis, IM, Petasis, G., Karkaletsis, V.: Argument extraction from news …

Detecting and presenting welcome-news for tourists from user reviews
A Nadamoto, K Sakai – International Journal of Web Information …, 2017 – emeraldinsight.com

NewsSE: An Ontology-based Search Engine for News
H Beheshti, F Poorahangaryan… – Computer Science and …, 2017 – hrpub.org
… 39 system for finding and summarizing clusters of related news articles. QCS [4] is a software tool for streamlined IR from generic document sets. [5] Proposes a tool to automatically extracting news from Web sites. NewsJunkie …

A construction scheme of web page comment information extraction system based on frequent subtree mining
X Zhang, B Chen – AIP Conference Proceedings, 2017 – aip.scitation.org
… 334. 2. Davi de Castro Reis, Paulo B. Golgher, Altigran S. da Silva, et al. Automatic web news extraction using tree edit distance[C]. Proceedings of the 13th international conference on World Wide Web, 2004, 502-511. 3. Kang …

How Do the First Days Count? A Case Study of Qatar Experience in Emergency Risk Communication during the MERS-CoV Outbreak
M Nour, M Alhajri, EABA Farag, HE Al-Romaihi… – International journal of …, 2017 – mdpi.com
This case study is the first to be developed in the Middle East region to document what happened during the response to the 2013 MERS outbreak in Qatar. It provides a description of key epidemiologic events and news released from a prime daily newspaper and main Emergency …

The Hot Sun and the Mad Moon: Hiroshima in South African Literature
D McKay – positions: east asia cultures critique, 2017 – read.dukeupress.edu
… But if the author was acute in his diagnoses, his scenarios are unremarkable and tend to fall back on a form of satire that frames suicide in derisive and comical language, as in this fictional extraction from news items of the day: “A young private in the Imperial army had done …

Mining Media Topics Perceived as Social Problems by Online Audiences: Use of a Data Mining Approach in Sociology
OS Nagornyy, GI Selivanova – 2017 – papers.ssrn.com
… generated directly by topics, not by individual news items. For this, a method of topic extraction from news collections is needed that we develop further below. Topic modeling and sentiment analysis for social problems research …

Analysis on Big Data Concepts and Applications
A Deepalakshmi – 2017 – ijariit.com
… One very interesting avenue of using Big Data in finance is the sentiment extraction from news articles … Nitish Sinha, ?Using Big Data in Finance: Example of sentiment – extraction from news articles?; FEDS notes, March 2014 23. Baker, Malcolm and Jeffrey Wurgler, 2007 …

A Visual Analytics Framework for Identifying Topic Drivers in Media Events
Y Lu, H Wang, S Landis… – IEEE transactions on …, 2017 – ieeexplore.ieee.org
… commercial products. Vox Civitas [20] is a visual analytics tool designed to help journalists and media professionals extract news from large-scale aggregations of social media content around broadcast events. webLyzard [21 …

Towards A Headline-based Deception Detection Approach for Data Veracity in Online Digital News
NC Eembi, I Ishak, F Sidi… – … Electronic and Computer …, 2017 – journal.utem.edu.my
… There is dataset, transformation, pre-processing, feature extraction of news headline, implementation of suitable machine learning technique and lastly our proposed deception detection method. Dataset phase contains the data source which in our case will be news text …

News Feature Extraction for Events on Social Network Platforms
P Jin, L Mu, L Zheng, J Zhao, L Yue – Proceedings of the 26th …, 2017 – dl.acm.org
… This is much different from extracting news events from Web news pages that usually contain most details of an event. In this paper, we propose a new framework to extract events together with their news features from microblogs. We first extract a set of events from microblogs …

DBpedia based Ontological Concepts Driven Information Extraction from Unstructured Text
A Ahmed, SSU Rahman – INTERNATIONAL JOURNAL OF …, 2017 – pdfs.semanticscholar.org
… Abstract—In this paper a knowledge base concept driven named entity recognition (NER) approach is presented. The technique is used for information extraction from news articles and linking it with background concepts in knowledge base …

Two Layers of Annotation for Representing Event Mentions in News Stories
MP di Buono, M Tutek, J Šnajder, G Glavaš… – Proceedings of the 11th …, 2017 – aclweb.org
… frayling@nottingham.ac.uk Abstract In this paper, we describe our prelimi- nary study of methods for annotating event mentions as part of our research on high- precision models for event extraction from news. We propose a two …

Syntactic entropy for main content extraction from web pages
I Jellouli, BE El Mohajir, M Al Achhab – Proceedings of the 2nd …, 2017 – dl.acm.org
… of DOM tree nodes. [3] propose a solution for automatic news extraction that is formalized as a machine learning problem which learns a template-independent wrapper from features dedicated to news articles. [4] develop a …

Understanding-Oriented Multimedia News Retrieval
Z Li – Understanding-Oriented Multimedia Content Analysis, 2017 – Springer
… of news pages. Necessary text preprocessing including word separation and stop-words filtering are conducted. Then we extract news entities (Time, Person or Organization, and Location) according to [33]. In this section, we …

Using Tweets Sentiment Analysis to Predict Stock Market Movement
A Almohaimeed – 2017 – etd.auburn.edu
… Data Preprocessing Tweets Datasets Tweets Preprocess Feature Extraction Classifier Learning Phase Evaluation Tweets collection Factors News Extraction Tweets Classification Factors Prediction Market Prediction Page 16. 8 Chapter 2 Historical data analysis …

Microblogging as an extension of science reporting
M Büchi – Public Understanding of Science, 2017 – journals.sagepub.com
Mass media have long provided general publics with science news. New media such as Twitter have entered this system and provide an additional platform for the d…

Automatic news summarization method based Maximal Marginal Relevance
D Wei – icj-e.org
This site may harm your computer. … confidence value similar sentence is actually very difficult to judge,Off if it is a summary sentence, then the data in order to solve the problem of unbalanced, using unsupervised learning methods largest edge Margin-Related (MMR) method of extracting news summaries, which …

Zero-Revelation Regtech: Detecting Risk Through Corporate Emails and News
SR Das, S Kim, B Kothari – 2017 – papers.ssrn.com
… 2.2 Factiva News Data In order to examine multiple sources of textual data we also extract news articles from Factiva, and we undertake similar text mining of these articles to generate a time series of news sentiment on a weekly basis …

A semantic content based recommendation system for cross-lingual news
SN Ferdous, MM Ali – Imaging, Vision & Pattern Recognition …, 2017 – ieeexplore.ieee.org
… This stage is implemented in Python. We have used GATE (General Architecture For Text Engineering) [30], an open source framework, for information extraction from news items. Texts of news items are annotated using two main modules …

Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction
F Wang, Y Zhang, Q Rao, K Li, H Zhang – soft computing, 2017 – Springer
… BIAS(q). \(100 \times (p_{0}-(\sum _{i}p_{i})/q) / ((\sum _{i}p_{i})/q)\). PSY(q). \(100 \times (\sum l\left\{ p_{i} > p_{i-1} \right\} ) / q\). 2.3.2 The market news. In the context of news documents, we need to extract news features that can correlate with the stock price volatility …

Explaining Stock Exchange Prices using supervised learning and sentiment analysis
A Anton Blanco – 2017 – openaccess.uoc.edu
… In our context, the Text information is the news extraction from the table “News”, which is gathered from the Kaggle web page and contains the top 25 news headlines for one day. For our purpose, the package “tm” of text mining is going to be used …

Automatic Structuring of Arabic Normative Texts
I Berrazega, R Faiz – Proceedings of the Computational Methods in …, 2017 – Springer
… Several computational approaches were based on the Contextual Exploration method to tackle different Natural Language Processing issues: Arabic Text segmentation [10], Events extraction from News articles [11], Indexing and retrieval of learning objects [12], Image and Text …

The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction
T Caselli, P Vossen – Proceedings of the Events and Stories in the News …, 2017 – aclweb.org
… By developing this dataset, we also introduce a new task, the StoryLine Extraction from news data, which aims at extracting and classifying events rele- vant for stories, from across news docu- ments spread in time and clustered around a single seminal event or topic …

Web Content Mining Techniques and Tools
A Mebrahtu, B Srinivasulu – 2017 – pdfs.semanticscholar.org
… sellers ? Helps users in automate extraction of auction information from auction sites. ? Help to Journalists extract news and articles from news sites. ? Helps people seeking job postings from online job websites finding a new …

Directional prediction of stock prices using breaking news on Twitter
H Alostad, H Davulcu – Web Intelligence, 2017 – content.iospress.com
… involved in the second experiment were hourly profiling of the Tweet volumes mentioning a stock symbol, detection of breaking Tweet volume periods, collection of online news mentioned in Tweets during the volume breakout hours, feature extraction from news, and running …

Project 4: In the News
ML Hetland – Beginning Python, 2017 – Springer
… To show the flexibility of the design, let’s add another news source—one that can extract news items from web pages (using regular expressions; see Chapter 10 for more information). SimpleWebSource (see Listing 23-2) takes …

AUTOMATIC MAIN TEXT EXTRACTION FROM WEB PAGES
P Thi Ha, H Hai Nam – Vietnam Journal of Science and Technology, 2017 – vjs.ac.vn
… 7. Ziegler CN and Skubacz M. – Content extraction from news pages using particle swarm optimization on linguistic and structural features, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society, Washington, USA, 2007 …

Strategy and vendor selection in IT outsourcing: is there a method in the madness?
DK Dutta, KL Gwebu, J Wang – Global Sourcing Of Services …, 2017 – World Scientific
… ITO decisions. In the first phase, a sample of IT out- sourcing firms was identified by extracting news announcements from the Lexis-Nexis database over the period from January 1, 1988 through December 31, 2008. A keyword …

Modeling and analysis of identity threat behaviors through text mining of identity theft stories
RN Zaeem, M Manoharan, Y Yang, KS Barber – Computers & Security, 2017 – Elsevier
… textual content. In order to extract news articles from the published format (usually HTML), we used the boilerpipe library (Boilerplate, 2016) and removed format labels, navigation lists, advertisements, etc. Moreover, sometimes …

Navigation objects extraction for better content structure understanding
K Zhao, B Li, Z Peng, J Bu, C Wang – arXiv preprint arXiv:1708.07940, 2017 – arxiv.org
… Cai et al. [5] proposed a vision-based webpage segmentation algorithm named VIPS to divide a webpage into sev- eral blocks by its visual presentation. Zheng et al. [33] presented a template-independent news extraction method based on visual consistency. Wang et al …

Visual Event Cueing in Linked Spatiotemporal Data
M Steptoe – 2017 – search.proquest.com
… prominence from social media outlets. Vox Civitas was designed to help journalists. and media professionals extract news value from social media content around broadcast. events. Work by Woldemariam [71] introduced the integration of a sentiment analysis …

Concepts, Applications and Future Scope of Big Data
T Karunakar, M Nagarjuna, K Hema – ijser.org
… Facebook and Twitter. One very interesting avenue of using Big Data in finance is the sentiment extraction from news articles. Market sentiment refers to the irrational belief in investors about cash-flow re- turns. The Heston-Sinha …

Commodity prices and business cycles in small open economies: The role of news shocks
L Farias, MEA da Silva – Working paper, 2017 – researchgate.net
… this issue, they argue that TOT process is also composed by an anticipated component. They employ an alternative empirical identification strategy for extracting news about TOT in the data and identify TOT news shocks as shocks that best explain future movements in terms of …

Semeval-2017 task 5: Fine-grained sentiment analysis on financial microblogs and news
K Cortis, A Freitas, T Daudert, M Huerlimann… – Proceedings of the 11th …, 2017 – aclweb.org
Page 1. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), pages 519–535, Vancouver, Canada, August 3 – 4, 2017. cO2017 Association for Computational Linguistics SemEval-2017 …

Enriching news events with meta-knowledge information
P Thompson, R Nawaz, J McNaught… – Language Resources …, 2017 – Springer
… 2014). A prototype, integrated system for extracting news events and associated meta-knowledge has been developed. Meta-knowledge in this system corresponds to the original attributes in the ACE 2005 corpus, as detailed below …

A Study on Financing Security for Smartphones Using Text Mining
JH Seo, EM Park – Wireless Personal Communications, 2017 – Springer
… Period 2014-01-01 00:00:00–2016-08-31 23:59:59 J.-H. Seo, E.-M. Park 123 Page 9. 4.1.2 Extraction of News Data (Nouns) To calculate the frequency of the words found in the collected articles, Natural Language Processing was applied …

Optimized Template Detection and Extraction Algorithm for Web Scraping of Dynamic Web Pages
G Gupta, I Chhabra – Global Journal of Pure and Applied …, 2017 – ripublication.com
… Proc. ACM SIGMOD. [4] Davi de Castro Reis, Paulo B. Golgher, Altigran S. da Silva & Alberto HF Laender (2004) Automatic web news extraction using tree edit distance. Proceedings of the 13th international conference on World Wide Web. ACM, pp. 502-511 …

Projection of argumentative corpora from source to target languages
A Aker, H Zhang – Proceedings of the 4th Workshop on Argument Mining, 2017 – aclweb.org
… In EMNLP. pages 440–450. Christos Sardianos, Ioannis Manousos Katakis, Geor- gios Petasis, and Vangelis Karkaletsis. 2015. Ar- gument extraction from news. NAACL HLT 2015 page 56. Serge Sharoff, Bogdan Babych, and Anthony Hartley. 2006 …

Unsupervised automatic keywords and keyphrases extractor for web documents
M Abdou, M Salah, S AbdelGaber – researchgate.net
… 2008. [12] L. Marujo, A. Gershman, J. Carbonell, R. Frederking, Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization, Lr. 2012. (2011) 399– 403. http …

Synonymous Entity Recognition Based on Feature Fusion
D Cai, J He, G Wu, X Hu – Big Knowledge (ICBK), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… Multisensor data fusion: A review of the state-of-the-art[J]. Information Fusion, 2013, 14(1): 28-44. [20] Wu GQ, Li L, Li L, et al. Web News Extraction via Tag Path Feature Fusion Using DS Theory[J]. Journal of Computer Science and Technology, 2016, 31(4): 661-672. 166

Using Public Information to Predict Corporate Default Risk
CN Peng, JL Lin – Applied Quantitative Finance, 2017 – Springer
… To summarize, these news frequencies are used to obtain the prior distribution of the regression parameters \(\beta \) in Shumways model. 8.4 Extracting News Information. Chinese characters can be divided into three types: classical, vernacular and other dialects …

Predicting news values from headline text and emotions
MP di Buono, J Šnajder, BD Basic, G Glavaš… – Proceedings of the …, 2017 – aclweb.org
… Journal of Machine Learning Research, 12:2825–2830. Alicja Piotrkowicz, Vania Dimitrova, and Katja Mark- ert. 2017. Automatic extraction of news values from headline text. In Proceedings of EACL. Association for Computational Linguistics …

Headlines Matter: Using Headlines to Predict the Popularity of News Articles on Twitter and Facebook.
A Piotrkowicz, V Dimitrova, J Otterbacher, K Markert – ICWSM, 2017 – researchgate.net
… Media. In ICWSM. Piotrkowicz, A.; Dimitrova, VG; and Markert, K. 2017. Automatic extraction of news values from headline text. In Proceedings of the EACL 2017 Student Research Workshop. Tan, C.; Lee, L.; and Pang, B. 2014 …

Event Identification for Explicit and Implicit References on Microblogs
JL Lu, MP Kato, T Yamamoto… – Journal of Information …, 2017 – jstage.jst.go.jp
… We collected events by extracting news-like tweets posted by a news-feeder account (eg, “@cnnbrk”) from Twitter. We made sure that each event e was from a news article, which was linked by some news-like tweet me via hyperlink …

Using a Large Set of Weak Classifiers for Text Analytics
SJ Simske, AM Vans – Archiving Conference, 2017 – ingentaconnect.com
Page 1. Using a Large Set of Weak Classifiers for Text Analytics Steven J. Simske and A. Marie Vans; HP Labs; Fort Collins, Colorado/USA Abstract TF*IDF is a common approach used for text mining and information retrieval …

Argument Mining on Twitter: Arguments, Facts and Sources
M Dusmanu, E Cabrio, S Villata – … of the 2017 Conference on Empirical …, 2017 – aclweb.org
… Theodosios Goudas, Christos Louizos, Geor- gios Petasis, and Vangelis Karkaletsis. 2015. Argument extraction from news, blogs, and the social web. International Jour- nal on Artificial Intelligence Tools 24(5). https://doi.org/10.1142/S0218213015400242 …

Inadvertent Learning on a Portal Site: A Longitudinal Field Experiment
T Kobayashi, T Hoshino… – Communication …, 2017 – journals.sagepub.com
Shedding light on an apparent inconsistency between the conditional political learning model, which predicts a widening knowledge gap between news and entertain…

Analysis of medical arguments from patient experiences expressed on the social web
K Noor, A Hunter, A Mayer – … and Other Applications of Applied Intelligent …, 2017 – Springer
… J. Med. Internet Res. 18(1), e4 (2016)CrossRefGoogle Scholar. 3. Sardianos, GPC, Katakis, I., Karkaletsis, V.: Argument extraction from news. In: Proceedings of the 2nd Workshop on Argumentation Mining, Association for Computational Linguistics, pp …

A Hybrid Approach for Sentiment Analysis using Classification Algorithm
R Aggarwal, L Gupta – 2017 – pdfs.semanticscholar.org
… 170 1 April 2013 [7] K. Bun and M. Ishizuka, “Topic extraction from news archive using TF*PDF algorithm”, In Proceedings of Third International Conference on Web Information System Engineering. [8] Jacques Savoy, Olena …

What works and what does not: Classifier and feature analysis for argument mining
A Aker, A Sliwa, Y Ma, R Lui, N Borad, S Ziyaei… – Proceedings of the 4th …, 2017 – aclweb.org
… ELRA, pages 91–100. Christos Sardianos, Ioannis Manousos Katakis, Geor- gios Petasis, and Vangelis Karkaletsis. 2015. Ar- gument extraction from news. NAACL HLT 2015 page 56. Christian Stab and Iryna Gurevych. 2014a …

PrivySense: ce olatilit based timent stimation from Financial News using Machine Learning
R Saqur, N Langballe – arXiv preprint arXiv:1801.00091, 2017 – arxiv.org
… company perhaps, but as part of overall industry news). So, we can address that issue by refining news extraction and features selection techniques. 6.2 Future Extensions • Evaluation of trading strategies using ‘PrivySense’: due to …

Designing Search Tasks for Archive Search
J Singh, A Anand – Proceedings of the 2017 Conference on Conference …, 2017 – dl.acm.org
… ACM, 2010. [14] M. Maslov, A. Golovko, I. Segalovich, and P. Braslavski. Extracting news-related queries from web query log. In Proceedings of the 15th International Conference on World Wide Web, WWW ’06, 2006. [15] A. Mishra and K. Berberich …

An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks
N Ma, HT Zheng, X Xiao – Asia-Pacific Web (APWeb) and Web-Age …, 2017 – Springer
… In the context of this work, we extract 6.0M instances from DBpedia that we eventually utilize in our work. Next, after extracting news corpus involving the five categories, we lowercase all characters, perform word segmentation and remove stop words …

Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
N Teneva, W Cheng – Proceedings of the 55th Annual Meeting of the …, 2017 – aclweb.org
… Lu?s Marujo, Anatole Gershman, Jaime Carbonell, Robert Frederking, and Jo˜ao P Neto. 2013. Super- vised topical key phrase extraction of news stories using crowdsourcing, light filtering and co-reference normalization. arXiv preprint arXiv:1306.4886 …

Global Event Crawler and Seed Generator for GETAR
E Manchester, R Srinivasan, S Crenshaw, A Masterson… – 2017 – vtechworks.lib.vt.edu
Page 1. Final Report Global Event Crawler and Seed Generator for GETAR April 28, 2017 EMMA MANCHESTER RAVI SRINIVASAN ALEC MASTERSON SEAN CRENSHAW HARRISON GRINNAN CS 4624: Multimedia, Hypertext, and Information Access – Spring 2017 …

Incongruent Headlines: Yet Another Way to Mislead Your Readers
S Chesney, M Liakata, M Poesio, M Purver – Proceedings of the 2017 …, 2017 – aclweb.org
… Discourse & Communica- tion 7(2):173–197. A. Piotrkowicz, V. Dimitrova, and K. Markert. 2016. Automatic extraction of news values from headline text. In Proceedings of EACL. B. Pouliquen, R. Steinberger, and C. Best. 2007 …

Satellite data planning for flood mapping activities based on high rainfall events generated using TRMM, GEFS and disaster news
VK Sharma, N Mishra, AK Shukla, A Yadav, GS Rao… – Annals of …, 2017 – Taylor & Francis

News shocks in open economies: Evidence from giant oil discoveries
R Arezki, VA Ramey, L Sheng – The quarterly journal of …, 2017 – academic.oup.com
We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more Skip to Main Content. Oxford …

Protest policing alla Turca: threat, insurgency, and the repression of pro-Kurdish protests in Turkey
K Atak, IE Bayram – Social forces, 2017 – academic.oup.com
We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more Skip to Main Content …

Speaking for Parliament
P Norton – Parliamentary Affairs, 2017 – academic.oup.com
We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more …

A news-topic recommender system based on keywords extraction
Z Wang, K Hahn, Y Kim, S Song, JM Seo – Multimedia Tools and …, 2017 – Springer
… management. NCM’08, vol 2. IEEE, Piscataway, pp 554–559 18. Sung-Jick L, Han-Joon K (2009) Keyword extraction from news corpus using modified TF-IDF. The Journal of Society for e-Business Studies 14(4):59–73 19. Thorsten …

Computing the accuracy of an automatic system for relevance detection in social networks
FF Miranda – 2017 – repositorio-aberto.up.pt
… This way, it is possible to systematically identify news articles titles, bodies or dates of publishing, in a certain header or paragraph, for a given news website. One approach to generalizing web scraping for news extraction was presented by [RGSL04] …

Personalized news conversations with the Softbank Pepper
J Gerbscheid, T Groot, J Wessels, R Wever… – uvahome.nl
… to stay relevant. The amount of articles crawled by the news extraction exceed even in the most optimistic estimates the amount of articles that can be analysed, thus a selection among articles is required. Maximizing the size …

Joint RNN Model for Argument Component Boundary Detection
M Li, Y Gao, H Wen, Y Du, H Liu, H Wang – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Joint RNN Model for Argument Component Boundary Detection Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu and Hao Wang Institute of Software Chinese Academy of Sciences University of Chinese Academy …

Zero-Revelation RegTech: Detecting Risk through Linguistic Analysis of Corporate Emails and News
SR Das, S Kim, B Kothari – 2017 – papers.ssrn.com
… 3.2 Factiva News Data In order to examine multiple sources of textual data we also extract news articles from Factiva, and we undertake similar text mining of these articles to generate a time series of news sentiment on a weekly basis …

Framing Russia as Threat in the Lithuanian Media: Corpus Analysis.
L NEVINSKAIT? – Lituanus, 2017 – search.ebscohost.com
… Oxford: Blackwell Publishing, 2002. Touri , M aria and N. K oteyko. “Using Corpus Linguistic Software in the Extraction of News Frames: Towards a Dynamic Process of Frame Analysis in Journalistic Texts,” International Journal of Social Research Methodology, 2014 …

A semantic frame-based intelligent agent for topic detection
YC Chang, YL Hsieh, CC Chen, WL Hsu – Soft Computing, 2017 – Springer
… knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on management of data. ACM, pp 1247–1250Google Scholar. Bun KK, Ishizuka M (2002) Topic extraction from news archive using tf*pdf algorithm. In …

Improving Stock Market Prediction via Heterogeneous Information Fusion
X Zhang, Y Zhang, S Wang, Y Yao, B Fang… – Knowledge-Based …, 2017 – Elsevier
Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web info.

Competitive repertoire complexity: Governance antecedents and performance outcomes
BL Connelly, L Tihanyi, DJ Ketchen… – Strategic …, 2017 – Wiley Online Library
… 2014). Rather than manually extracting news items, the program uses textual analysis, parts-of-speech tagging, adjacent word relationships, and language tokens (ie, markers, such as dates) to identify and classify news articles …

Framework for Sustaining Innovation at Baker Library, Harvard Business School
M Dolan, M Hemment, S Oliver – New Review of Academic …, 2017 – Taylor & Francis

Towards a Relation-Based Argument Extraction Model for Argumentation Mining
G Rocha, HL Cardoso – … Conference on Statistical Language and Speech …, 2017 – Springer
… 283–295. Springer, Cham (2016). doi:10.1007/978-3-319-41552-9_29 Google Scholar. 10. Goudas, T., Louizos, C., Petasis, G., Karkaletsis, V.: Argument extraction from news, blogs, and social media. In: Likas, A., Blekas, K., Kalles, D. (eds.) SETN 2014. LNCS, vol. 8445, pp …

Network Governance and Effectiveness on Renewable Energy Integration: A Comparative Case Study on Power Transmission Networks in the United States
T Tang – localgov.fsu.acsitefactory.com
… state regulators that involved in the two regional transmission networks, and FERC. To triangulate with this archival data, I also extract news articles about transmission system operation and renewable energy integration in these two regional networks from Fectiva database …

Espresso: A data naming service for self-summarizing transport
J Lee, MT Al Amin, T Abdelzaher – … , and Networking (SECON) …, 2017 – ieeexplore.ieee.org
… Fig. 5: Normalized information utility in accordance with different cluster density, proportion of noisy data, weight distribution fairness, and dissimilarity functions A. Twitter news An example application enabled thanks to Espresso is automatic extraction of news from Twitter …

ISIL’s Execution Videos: Audience Segmentation and Terrorist Communication in the Digital Age
A Barr, A Herfroy-Mischler – Studies in Conflict & Terrorism, 2017 – Taylor & Francis

Computational linguistics literature and citations oriented citation linkage, classification and summarization
L Li, L Mao, Y Zhang, J Chi, T Huang, X Cong… – International Journal on …, 2017 – Springer
Page 1. Int J Digit Libr DOI 10.1007/s00799-017-0219-5 Computational linguistics literature and citations oriented citation linkage, classification and summarization Lei Li1 · Liyuan Mao1 · Yazhao Zhang1 · Junqi Chi1 · Taiwen Huang1 · Xiaoyue Cong1 · Heng Peng1 …

Visual Similarity Analysis of Web Pages based on Gestalt Theory
Z Xu – 2017 – era.library.ualberta.ca
… distance”. This methodology solved the structure-based page classification problem; and can extract news articles from web pages automatically. However, it focused only on the textual content while paid no attention on the layout, therefore had limitations on …

Semantic Measures for Keywords Extraction
D Colla, E Mensa, DP Radicioni – Conference of the Italian Association for …, 2017 – Springer
… Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49130-1_32 CrossRefGoogle Scholar. 8. Marujo, L., Gershman, A., Carbonell, JG, Frederking, RE, Neto, JP: Supervised topical key phrase extraction of news stories using crowdsourcing and co-reference normalization …

Creating Collaborative Innovation Networks (COINs) to Reduce Infant Mortality
PA Gloor, F Grippa – detroit17.coinsconference.org
… A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254–284. 18. Marcos de Oliveira, J. Gloor, P. (2016) The Citizen IS the Journalist – Automatically Extracting News from the Swarm …

Decades of Automation in the Newsroom: Why are there still so many jobs in journalism?
CG Linden – Digital Journalism, 2017 – Taylor & Francis

Event Timeline Generation from History Textbooks
H Bedi, S Patil, S Hingmire, G Palshikar – … of the 4th Workshop on Natural …, 2017 – aclweb.org
Page 1. Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications, pages 69–77, Taipei, Taiwan, December 1, 2017 cO2017 AFNLP Event Timeline Generation from History Textbooks …

Improving Language-Dependent Named Entity Detection
G Petz, W Wetzlinger, D Nedbal – International Cross-Domain Conference …, 2017 – Springer
Named Entity Recognition (NER) and Named Entity Linking (NEL) are two research areas that have shown big advancements in recent years. The majority of this research is based on the English language. H.

Study of Methods for Element Data Service for Electronic Documents Related to National R&D Projects
YJ Kim, WK Joo, KS Choi, MS Yang – Wireless Personal Communications – Springer
… Lee, Sung-Jick, & Kim, Han-Joon. (2009). Keyword extraction from news corpus using modified TF-IDF. The Journal of Society for e-Business Studies, 14(4), 59–73.Google Scholar. 12. Sohn, Jong-Soo, Bae, Un-Bong, & Chung, In-Jeong. (2013) …

Unsupervised Detection of Argumentative Units though Topic Modeling Techniques
A Ferrara, S Montanelli, G Petasis – Proceedings of the 4th Workshop on …, 2017 – aclweb.org
Page 1. Proceedings of the 4th Workshop on Argument Mining, pages 97–107 Copenhagen, Denmark, September 8, 2017. cO2017 Association for Computational Linguistics Unsupervised Detection of Argumentative Units though Topic Modeling Techniques …

Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis
AE Khedr, N Yaseen – International Journal of Intelligent …, 2017 – search.proquest.com
… mining is an attractive field of research, and has a lot of. challenges because of the unstructured nature of news. News mining can be defined as the process of extracting. hidden, useful and potentially unknown patterns from. news data to obtain knowledge. Text mining is a …

Using Summarization to Discover Argument Facets in Online Ideological Dialog
A Misra, P Anand, JEF Tree, M Walker – arXiv preprint arXiv:1709.00662, 2017 – arxiv.org
Page 1. Human Language Technologies: The 2015 Annual Conference of the North American Chapter of the ACL, pages 430–440, Denver, Colorado, May 31 – June 5, 2015. c 2015 Association for Computational Linguistics …

Hierarchical Attention Network with XGBoost for Recognizing Insufficiently Supported Argument
D Suhartono, AP Gema, S Winton, T David… – … Workshop on Multi …, 2017 – Springer
In this paper, we propose the empirical analysis of Hierarchical Attention Network (HAN) as a feature extractor that works conjointly with eXtreme Gradient Boosting (XGBoost) as the classifier to reco.

Essays in international macroeconomics
A Vicondoa – 2017 – cadmus.eui.eu
Page 1. Essays in International Macroeconomics Alejandro Vicondoa Thesis submitted for assessment with a view to obtaining the degree of Doctor of Economics of the European University Institute Florence, 08 June 2017 Page 2. Page 3. European University Institute …

Cross-sentence n-ary relation extraction with graph lstms
N Peng, H Poon, C Quirk, K Toutanova… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Cross-Sentence N-ary Relation Extraction with Graph LSTMs Nanyun Peng1? Hoifung Poon2 Chris Quirk2 Kristina Toutanova3? Wen-tau Yih2 1 Center for Language and Speech Processing, Computer Science Department …

Research on the Emergency Events Monitoring of Minsheng Hotline Based on Text
X Bin, T Haijun – … (ICBK), 2017 IEEE International Conference on, 2017 – ieeexplore.ieee.org
… Netherlands, July. DBLP, 2007:215-222. [14] Bun KK, IshizuNa M. Topic Extraction from News Archive Using TF*PDF Algorithm[C]// International Conference on Web Information Systems Engineering. IEEE Xplore, 2002:73-82. 154

Model of Network Topic Detection Based on Web Usage Behaviour Mode Analysis and Mining Technology.
M Chen – … Journal of Computers, Communications & Control, 2017 – search.ebscohost.com
… to the social event chose, whose selection range is imported from result of Web news extraction and analysis, fourthly, users can input keywords in textfield component again, finally, when users click Web news search button, the experimental platform will display webpage as …

Recognizing insufficiently supported arguments in argumentative essays
C Stab, I Gurevych – Proceedings of the 15th Conference of the …, 2017 – aclweb.org
Page 1. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 980–990, Valencia, Spain, April 3-7, 2017. cO2017 Association for Computational Linguistics …

Parsing argumentation structures in persuasive essays
C Stab, I Gurevych – Computational Linguistics, 2017 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Self-organizing weighted incremental probabilistic latent semantic analysis
N Li, W Luo, K Yang, F Zhuang, Q He, Z Shi – International Journal of …, 2017 – Springer
Page 1. Vol.:(0123456789) 1 3 Int. J. Mach. Learn. & Cyber. DOI 10.1007/s13042-017-0681-9 ORIGINAL ARTICLE Self?organizing weighted incremental probabilistic latent semantic analysis Ning Li1,2 · Wenjuan Luo2 · Kun Yang3 · Fuzhen Zhuang2 · Qing He2 · Zhongzhi Shi2 …

One, no one and one hundred thousand events: Defining and processing events in an inter-disciplinary perspective
R Sprugnoli, S Tonelli – Natural Language Engineering, 2017 – cambridge.org
Page 1. Natural Language Engineering: page 1 of 22. c Cambridge University Press 2016 doi:10.1017/S1351324916000292 1 One, no one and one hundred thousand events: Defining and processing events in an inter-disciplinary perspective ? …

Unit Segmentation of Argumentative Texts
Y Ajjour, WF Chen, J Kiesel, H Wachsmuth… – Proceedings of the 4th …, 2017 – aclweb.org
Page 1. Proceedings of the 4th Workshop on Argument Mining, pages 118–128 Copenhagen, Denmark, September 8, 2017. cO2017 Association for Computational Linguistics Unit Segmentation of Argumentative Texts Yamen …

The impact of news values and linguistic style on the popularity of headlines on Twitter and Facebook
A Piotrkowicz, VG Dimitrova… – Proceedings of the …, 2017 – eprints.whiterose.ac.uk
Page 1. This is an author produced version of The Impact of News Values and Linguistic Style on the Popularity of Headlines on Twitter and Facebook. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/115200 …

Monetary Policy and Corporate Bond Returns
A Kontonikas, P Maio, Z Zekaite – 2017 – papers.ssrn.com
… long-term bonds using the formulas for consol bonds, where the problem of shrinking maturity does not arise, and show that our results do not change in a significant way. The VAR model that is used to extract news is assumed to contain all relevant information</

Research on Tibetan hot words, sensitive words tracking and public opinion classification
G Xu, C Wang, H Yao, Q Qi – Cluster Computing, 2017 – Springer
Page 1. Cluster Comput DOI 10.1007/s10586-017-1026-x Research on Tibetan hot words, sensitive words tracking and public opinion classification Guixian Xu1 · Changzhi Wang1 · Haishen Yao1 · Qi Qi1 Received: 5 April 2017 …

The news is in the frame: A journalist-centered approach to the frame-building process of the Belgian Syria fighters
J Boesman, A Berbers, L d’Haenens… – Journalism, 2017 – journals.sagepub.com
This article seeks to understand the genesis of frame-building based on the early coverage of the Belgian Syria fighters in the four leading newspapers in Fland…

Coding the News: The role of computer code in filtering and distributing news
MS Weber, A Kosterich – Digital Journalism, 2017 – Taylor & Francis

Finding enthymemes in real-world texts: A feasibility study
O Razuvayevskaya, S Teufel – Argument & Computation, 2017 – content.iospress.com
… 00978507. doi:10.2307/414531. [14]. T. Goudas, C. Louizos, G. Petasis and V. Karkaletsis, Argument extraction from news, blogs, and social media, in: Hellenic Conference on Artificial Intelligence, Springer, (2014) , pp. 287–299. [15] …

MetaPAD: Meta Pattern Discovery from Massive Text Corpora
M Jiang, J Shang, T Cassidy, X Ren… – Proceedings of the 23rd …, 2017 – dl.acm.org
Page 1. MetaPAD: Meta Pa ern Discovery from Massive Text Corpora Meng Jiang 1 , Jingbo Shang 1 , Taylor Cassidy 2 , Xiang Ren 1 Lance M. Kaplan 2 , Timothy P. Hanra y 2 , Jiawei Han 1 1Department of Computer Science …

Detecting Perspectives in Political Debates
D Vilares, Y He – Proceedings of the 2017 Conference on Empirical …, 2017 – aclweb.org
Page 1. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1573–1582 Copenhagen, Denmark, September 7–11, 2017. cO2017 Association for Computational Linguistics Detecting Perspectives in Political Debates …

Finding influential sources and breaking news in news media using graph analysis techniques
I Varlamis, DF Hilliard – International Journal of Web …, 2017 – inderscienceonline.com
Page 1. Int. J. Web Engineering and Technology, Vol. 12, No. 2, 2017 143 Copyright © 2017 Inderscience Enterprises Ltd. Finding influential sources and breaking news in news media using graph analysis techniques Iraklis Varlamis* and Dimitrios Fassarakis Hilliard …

A Web Scraper For Forums: Navigation and text extraction methods
M Palma, S Zhou – 2017 – diva-portal.org
Page 1. IN DEGREE PROJECT COMPUTER ENGINEERING, FIRST CYCLE, 15 CREDITS , STOCKHOLM SWEDEN 2017 A Web Scraper For Forums Navigation and text extraction methods SHIDI ZHOU MICHAEL PALMA KTH …

Journalism Culture and Professional Identity in Transit: Technology, Crisis and Opportunity in the Greek Media
M Touri, I Kostarella, S Theodosiadou – Digital Technology and Journalism, 2017 – Springer
This chapter explores the potential transformation of journalism practices under the influence of digital technology in the context of Greece. It seeks to contribute to broader debates regarding the I.

Hashtag-based topic evolution in social media
MH Alam, WJ Ryu, SK Lee – World Wide Web, 2017 – Springer
The rise of online social media has led to an explosion of metadata- containing user generated content. The tracking of metadata distribution is essential to understand social media. This paper present.

Competing discursive constructions of China’s smog in Chinese and Anglo-American English-language newspapers: A corpus-assisted discourse study
M Liu, C Li – Discourse & Communication, 2017 – journals.sagepub.com
This article presents a corpus-assisted discourse study of the representations of China’s smog in one Chinese (ie China Daily) and three Anglo-American (ie …

Representations of mental health and arts participation in the national and local British press, 2007–2015
D Atanasova, N Koteyko, B Brown, P Crawford – Health:, 2017 – journals.sagepub.com
We analysed news articles published in national and local British newspapers between 2007 and 2015 to understand (1) how mental health and arts participation we…

Toward the automated detection of individuals’ rationales in large-scale online open participative activities: A conceptual framework
L Xiao, J Stromer-Galley, Á Sándor – Group Decision and Negotiation, 2017 – Springer
In large-scale online open participative (LSOOP) activities, participants can join and leave at any time, and they often do not have a history of working together. Although the communication history i.

Oriental-script text detection and extraction in videos
U Shahzad, K Khurshid – Arabic Script Analysis and …, 2017 – ieeexplore.ieee.org
… Sharma;” Extraction of text regions in natural images, Rochester Institute of Technology”, Spring 2006/07 [7] M. Daud Abdullah Asif, Umair Ullah Tariq, Mirza Nauman Baig and Waqar Ahmad;” A Novel Hybrid Method for Text Detection and Extraction from News Videos”, Middle …

An empirical study of early access games on the Steam platform
D Lin, CP Bezemer, AE Hassan – Empirical Software Engineering, 2017 – Springer
… Empir Software Eng Collecting Release Notes, User Reviews and Discussions Collecting Basic Game Information Collecting Historical Data Steam Store Extract basic info of all games Extract news updates Steam Community Extract release notes Extract historical owner data …

Event-based summarization using a centrality-as-relevance model
L Marujo, R Ribeiro, A Gershman, DM de Matos… – … and Information Systems, 2017 – Springer
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A Graph-based Approach of Automatic Keyphrase Extraction
Y Ying, T Qingping, X Qinzheng, Z Ping… – Procedia Computer …, 2017 – Elsevier
… Luis Marujo, Anatole Gershman, Jaime Carbonell, Robert Frederking, João P. Neto, Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization, Proceedings of the 8th International Conference on Language …

TSAKE: A topical and structural automatic keyphrase extractor
J Rafiei-Asl, A Nickabadi – Applied Soft Computing, 2017 – Elsevier
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Synthesis of forgiving data extractors
A Omari, S Shoham, E Yahav – … Conference on Web Search and Data …, 2017 – dl.acm.org
Page 1. Synthesis of Forgiving Data Extractors Adi Omari Technion omari@cs.technion. ac.il Sharon Shoham Tel Aviv University sharon.shoham@gmail.com Eran Yahav Technion yahave@cs.technion.ac.il ABSTRACT We address …

Event phase oriented news summarization
C Wang, X He, A Zhou – World Wide Web, 2017 – Springer
Page 1. World Wide Web https://doi.org/10.1007/s11280-017-0501-x Event phase oriented news summarization Chengyu Wang1 ·Xiaofeng He1 ·Aoying Zhou2 Received: 12 January 2017 / Revised: 18 September 2017 / Accepted …

Context-aware trust network extraction in large-scale trust-oriented social networks
G Liu, Y Liu, A Liu, Z Li, K Zheng, Y Wang, X Zhou – World Wide Web, 2017 – Springer
Page 1. World Wide Web DOI 10.1007/s11280-017-0485-6 Context-aware trust network extraction in large-scale trust-oriented social networks Guanfeng Liu1,2 ·Yi Liu1 ·An Liu1 ·Zhixu Li1 · Kai Zheng1 ·Yan Wang3 ·Xiaofang Zhou4 …

An effective hot topic detection method for microblog on spark
W Ai, K Li, K Li – Applied Soft Computing, 2017 – Elsevier
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SOTXTSTREAM: Density-based self-organizing clustering of text streams
AC Bryant, KJ Cios – PloS one, 2017 – journals.plos.org
A streaming data clustering algorithm is presented building upon the density-based self-organizing stream clustering algorithm SOSTREAM. Many density-based clustering algorithms are limited by their inability to identify clusters with heterogeneous density. SOSTREAM addresses …

Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis
E Sasson, G Ravid, N Pliskin – Journal of Knowledge …, 2017 – emeraldinsight.com

A named entity recognition system applied to Arabic text in the medical domain
S Alanazi – 2017 – eprints.staffs.ac.uk
Page 1. A Named Entity Recognition System Applied to Arabic Text in the Medical Domain SAAD ALANAZI A thesis submitted in partial fulfilment of the requirements of Staffordshire University for the degree of Doctor of Philosophy May 2017 Page 2. i Abstract …

A survey of the applications of Bayesian networks in agriculture
B Drury, J Valverde-Rebaza, MF Moura… – … Applications of Artificial …, 2017 – Elsevier
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FeRe: Exploiting influence of multi-dimensional features resided in news domain for recommendation
P Lv, X Meng, Y Zhang – Information Processing & Management, 2017 – Elsevier
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Context-aware profiling of concepts from a semantic topological space
D Cavaliere, S Senatore, V Loia – Knowledge-Based Systems, 2017 – Elsevier
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ANT Corpus: An Arabic News Text Collection for Textual Classification
A Chouigui, OB Khiroun, B Elayeb – culture – researchgate.net
Page 1. ANT Corpus : An Arabic News Text Collection for Textual Classification Amina Chouigui‡, Oussama Ben Khiroun‡? and Bilel Elayeb§? ? RIADI Research Laboratory, ENSI Manouba University Manouba 2010, Tunisia …

Box clustering segmentation: A new method for vision-based web page preprocessing
J Zeleny, R Burget, J Zendulka – Information Processing & Management, 2017 – Elsevier
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Detecting cooperative and organized spammer groups in micro-blogging community
Q Dang, Y Zhou, F Gao, Q Sun – Data Mining and Knowledge Discovery, 2017 – Springer
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A Method Study of Online Publication Time Extraction for Chinese Web News
L Wang, G Wu – … (ICBK), 2017 IEEE International Conference on, 2017 – ieeexplore.ieee.org
A Method Study of Online Publication Time Extraction for Chinese Web News … [15] Wu GQ, Li L, Hu XG, Wu XD, “Web news extraction via path ratios,” Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013, pp. 2059-2068 …

Mining Multimodal Data
S Chaudhury, L Dey, I Verma… – … RECOGNITION AND BIG …, 2017 – World Scientific
Page 1. Chapter 17 Mining Multimodal Data Santanu Chaudhury ? , Lipika Dey ? , Ishan Verma ? and Ehtesham Hassan ? ? Department of Electrical Engineering Indian Institute of Technology, Delhi schaudhury@gmail.com …

Ontology-based social media analysis for urban planning
X Gao, W Yu, Y Rong, S Zhang – Computer Software and …, 2017 – ieeexplore.ieee.org
Page 1. Ontology-based social media analysis for urban planning Xinxin Gao The Institute of Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing, China gaoxinxin14@mails.ucas.ac.cn …

An intelligent system for livestock disease surveillance
O Yazdanbakhsh, Y Zhou, S Dick – Information Sciences, 2017 – Elsevier
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Automatic detection of usability smells in web applications
J Grigera, A Garrido, JM Rivero, G Rossi – International Journal of Human …, 2017 – Elsevier
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Newsprint Metropolis: City Papers and the Making of Modern Americans
J Guarneri – 2017 – books.google.com
Page 1. ºn EIUPUIS CITY PAPERS AND THE MA KING OF MODERN AMERICANS Page 2. NEWSPRINT METROPOLIS Page 3. Historical studies of urban america Edited by Lilia Fernández, Timothy J. Gilfoyle, Becky M. Nicolaides …

Active learning for concept extraction from clinical free text
M Kholghi – 2017 – eprints.qut.edu.au
Page 1. ACTIVE LEARNING FOR CONCEPT EXTRACTION FROM CLINICAL FREE TEXT Mahnoosh Kholghi BSc Eng, MSc Eng Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy School of Electrical Engineering and Computer Science …

Tracking Events in Social Media
L Tan – 2017 – uwspace.uwaterloo.ca
Page 1. Tracking Events in Social Media by Luchen Tan A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Computer Science Waterloo, Ontario, Canada, 2017 c Luchen Tan 2017 Page 2 …

Argumentation mining in user-generated web discourse
I Habernal, I Gurevych – Computational Linguistics, 2017 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Blooming, Contending, and Staying Silent: Student Activism and Campus Politics in China, 1957
Y Wu – 2017 – search.proquest.com
Blooming, Contending, and Staying Silent: Student Activism and Campus Politics in China, 1957. Abstract. What are the continuities and changes of student activism throughout twentieth-century China? How did students carry …

Modeling user interests from web browsing activities
F Gasparetti – Data Mining and Knowledge Discovery, 2017 – Springer
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Proximity of Terms, Texts and Semantic Vectors in Information Retrieval
JBP Vuurens – 2017 – researchgate.net
Page 1. Proximity of Terms, Texts and Semantic Vectors in Information Retrieval Jeroen BP Vuurens Page 2. PROXIMITY OF TERMS, TEXTS AND SEMANTIC VECTORS IN INFORMATION RETRIEVAL Proefschrift ter verkrijging …

Kite: A Scalable Microblogs Data Management System
AM Ahmed – 2017 – search.proquest.com
… topics [20, 29, 30, 31, 32, 23]. This rich set of queries enabled different types of analysis. on microblogs including news extraction [33, 34], event detection [35, 36, 32, 37], event. analysis and tracking [9, 11], recommendation [38, 29, 33], sentiment and semantic …

Multiword expression processing: a survey
M Constant, G Eryi?it, J Monti, L Van Der Plas… – Computational …, 2017 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

A study of Web print: What people print in the digital era
G Koutrika, Q Lin – ACM Transactions on the Web (TWEB), 2017 – dl.acm.org
Page 1. 23 A Study of Web Print: What People Print in the Digital Era GEORGIA KOUTRIKA and QIAN LIN, HP Labs This article analyzes a proprietary log of printed web pages and aims at answering questions regarding the …

Text summarization from legal documents: a survey
A Kanapala, S Pal, R Pamula – Artificial Intelligence Review, 2017 – Springer
Page 1. Artif Intell Rev DOI 10.1007/s10462-017-9566-2 Text summarization from legal documents: a survey Ambedkar Kanapala1 · Sukomal Pal2 · Rajendra Pamula1 © Springer Science+Business Media BV 2017 Abstract …

Mind the Gap: Newsfeed Visualisation with Metro Maps
D Talary-Brown – 2017 – opus.bath.ac.uk
Page 1. Mind The Gap: Newsfeed Visualisation with Metro Maps Damask Talary-Brown Bachelor of Science in Computer Science with Honours The University of Bath 2017 Page 2. This dissertation may be made available for …

Multilingual Keyphrase Extraction and Advanced Localisation Strategies
D Degl’Innocenti – 2017 – dspace-uniud.cineca.it
Page 1. Universit`a degli Studi di Udine Dipartimento di Scienze matematiche, informatiche e fisiche Dottorato di Ricerca in Informatica e Scienze Matematiche e Fisiche Ph.D. Thesis Multilingual Keyphrase Extraction and Advanced Localisation Strategies Candidate …

Search by Screenshots for Universal Article Clipping in Mobile Apps
K Umemoto, R Song, JY Nie, X Xie, K Tanaka… – ACM Transactions on …, 2017 – dl.acm.org
Page 1. 34 Search by Screenshots for Universal Article Clipping in Mobile Apps KAZUTOSHI UMEMOTO, Kyoto University RUIHUA SONG, Microsoft Research Asia JIAN-YUN NIE, University of Montreal XING XIE, Microsoft …

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