News Extraction & Artificial Intelligence 2020


Notes:

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

  • Argument extraction
  • Automatic news extraction
  • Event extraction
  • Extract news
  • Extracting news
  • Extraction from news
  • Extraction of news
  • Keyword extraction
  • Keywords extraction
  • News extracting
  • News 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 Load


Personalized news media extraction and archival framework with news ordering and localization
SK George, VPJ Raj, SK Gopalan – Information and Communication …, 2020 – Springer
… The localization focuses on extracting news about traditional knowledge … Artificial intelligence Natural language processing Ontology Traditional knowledge Machine learning. Download conference paper PDF … The main purpose of this framework is to extract news based on user …

Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
V Bitetta, I Bordino, A Ferretti, F Gullo, S Pascolutti… – 2020 – books.google.com
… org/10.1007/978-3-030-37720-5 LNCS Sublibrary: SL7–Artificial Intelligence © Springer Nature Switzerland AG 2020 This work … Ishan Verma, and Lipika Dey Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News …

NLP for the Greek Language: A Brief Survey
K Papantoniou, Y Tzitzikas – … Conference on Artificial Intelligence, 2020 – dl.acm.org
… 2020. NLP for the Greek Lan- guage: A Brief Survey. In 11th Hellenic Conference on Artificial Intelligence (SETN 2020), September 2–4, 2020, Athens, Greece. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3411408.3411410 …

Extracting Keyphrases from News Articles Using Crowdsourcing
Q Wang, J Zhong, L Gu, K Yang, VS Sheng – Urban Intelligence and …, 2020 – Springer
… This paper employs crowdsourcing for keyphrase extraction of news articles … S. Xu, S. Yang, CM Lau, Keyword extraction and headline generation using novel word feature, in Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI, Menlo Park, 2010), pp …

Chinese News Data Extraction System Based on Readability Algorithm
T Xu, A Feng, X Song, Z Gao, X Zeng – … Conference on Artificial Intelligence …, 2020 – Springer
… Mooney, R.: Relational learning of pattern-match rules for information extraction: In: Proceedings of the Sixteenth National Conference on Artificial Intelligence, vol … de Castro Reis, D., Golgher, PB, Silva, AS, Laender, AF: Automatic web news extraction using tree edit distance …

Predictive analysis of Bitcoin price considering social sentiments
P Prajapati – arXiv preprint arXiv:2001.10343, 2020 – arxiv.org
… Keywords Bitcoin · Bitcoin price prediction · Cryptocurrency · Blockchain · Machine learning · Artificial intelligence · Long short-term memory (LSTM) · Gated recurrent unit (GRU) · Convolution neural network (CNN … Figure 1: Google News URL template to extract news …

Knowing Opposing Arguments in Persuasive Essays Using Random Forest Classifier
D Rachmanto, I Asror, A Herdiani – 2020 8th International …, 2020 – ieeexplore.ieee.org
… 225–230, 2007. [8] T. Goudas, C. Louizos, G. Petasis, and V. Karkaletsis, “Argument Extraction from News, Blogs, and Social Media,” in Artificial Intelligence: Methods and Applications (A. Likas, K. Blekas, and D. Kalles, eds.), (Cham), pp …

Online News Analysis of Majene Public Figure Electability with NLP (Natural Language Processing)
S Cokrowibowo, N Zulkarnaim – IOP Conference Series …, 2020 – iopscience.iop.org
… 2.3. Natural Language Processing (NLP) Natural Language Processing commonly called Natural Language Processing is the Field of Artificial Intelligence that deals with understanding human (natural) language (English, German … Figure 2. Online news extraction results …

Automated extraction of socio-political events from news (AESPEN): Workshop and shared task report
A Hürriyeto?lu, V Zavarella, H Tanev, E Yörük… – arXiv preprint arXiv …, 2020 – arxiv.org
… emergence of innovative technological and scientific solutions in the field of event detection and event metadata extraction from news, as well … We invited contributions from researchers in NLP, ML and Artificial Intelligence (AI) involved in automated event data collection, as well …

ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
T Guo – Available at SSRN 3593885, 2020 – papers.ssrn.com
… ESG news extraction: generic financial news flow rarely provides labelled ESG news and thus we developed the in-house extraction process … In Thirtieth AAAI Conference on Artificial Intelligence, 2016. [12] Qikai Liu, Xiang Cheng, Sen Su, and Shuguang Zhu …

Stock Price Prediction Using Deep Learning and Sentimental Analysis
RSRGS Parameswaran, V Sriram – 2020 – researchgate.net
… propose a method to predict stock price using sentiment analysis giving specific keywords and extracting news articles from … prophet, world economy, Indian economy, google news sentimental analysis, Nifty, Sensex, SEBI inflation, monetary, artificial intelligence, deep learning …

Development of efficient supervised classification method for automatic categorization of online published news articles
N Chaturvedi – 2020 – shodhgangotri.inflibnet.ac.in
… 2018 ACL page 1-10 Mohammad Kamel, Neda keyvani, “Sentiment Content Analysis and Knowledge Extraction from News Articles.” Association … fake news detection on social media: A generative approach.” Proceedings of 33rd AAAI Conferences on Artificial Intelligence, 2019 …

Do All Good Actors Look The Same? Exploring News Veracity Detection Across The US and The UK
BD Horne, M Gruppi, S Adal? – arXiv preprint arXiv:2006.01211, 2020 – arxiv.org
… Hence, in this work we ask the question: Copyright c 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved … To explore this problem, we extract news article data from the NELA-GT-2018 dataset (Nørregaard, Horne, and Adal? 2019) …

Application of natural language processing algorithms for extracting information from news articles in event-based surveillance
V Ng, EE Rees, J Niu, A Zaghool… – Canada …, 2020 – search.proquest.com
… Multiple temporal information extraction systems have been developed including TimeML (developed for temporal extraction of news articles in finance) (22); ISO-TimeML (a revised version of TimeML … Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence …

Pattern Matching-based scraping of news websites
H Salem, M Mazzara – Journal of Physics: Conference Series, 2020 – iopscience.iop.org
… This approach consists of three steps, ie: extracting news website structure, constructing a pattern of HTML content, and implementing the pattern as a set of rules in web scraping … In Proceedings ninth IEEE international conference on tools with artificial intelligence (pp …

M\v {e} j P\v {r} ehled/Be informed
M Bravansky, J Platos – arXiv preprint arXiv:2101.04614, 2020 – arxiv.org
… The system uses various techniques for the proper news selection that utilizes keyword extraction, document clustering, and artificial intelligence … a complex system that can be extended using other news sources, different article processing steps, and essential news extraction …

CCTV News Broadcast Information Mining: Keyword Extraction Based on Semantic Model and Statistics Visualization
Y Xie, F Liu – … 2nd International Conference on Artificial Intelligence …, 2020 – dl.acm.org
… ACM ISBN 978-1-4503-7553-5/20/10…$15.00 https://doi.org/10.1145/3421766.3421827 AIAM2020 – 2nd International Conference on Artificial Intelligence and Advanced Manufacture 251 Page 2 … Therefore, semantic model is better for keyword extraction of news text …

Assembly of polarity, emotion and user statistics for detection of fake profiles
LG Moreno-Sandoval, E Puertas… – 2020 – researchgate.net
… effective detection of fake news requires scientific contributions from various dis- ciplines, such as computational linguistics, artificial intelligence, and sociology … Shu et al.[19] analyses the correlation between user profiles and fake news extracting implicit and explicit linguistic …

Argument annotation and analysis using deep learning with attention mechanism in Bahasa Indonesia
D Suhartono, AP Gema, S Winton, T David… – Journal of Big Data, 2020 – Springer
Argumentation mining is a research field which focuses on sentences in type of argumentation. Argumentative sentences are often used in daily communication and have important role in each decision or conclusion making process. The research objective is to do observation in …

Artificial intelligence in public health: Application of natural language processing algorithms for extracting information from news articles in event-based …
V Ng, EE Rees, J Niu, A Zaghool… – Canada …, 2020 – ncbi.nlm.nih.gov
… Artificial intelligence (AI), A branch of computer science dealing with the simulation of human intelligence by machines … Multiple temporal information extraction systems have been developed including TimeML (developed for temporal extraction of news articles in finance) (22 …

A MODEL FOR AUTOMATIC RESUME SUMMARIZATION
FO Oladipo, AA Ayomikun – Journal of Information Systems & …, 2020 – jisom.rau.ro
… 9 (1), 175-179, 2009 [18] C. Ziegler, and M. Skubacz,“Content extraction from news pages using particle swarm optimization on linguistic … IEEE Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing …

ND-SMPF: A Noisy Deep Neural Network Fusion Framework for Stock Price Movement Prediction
F Ronaghi, M Salimibeni, F Naderkhani… – 2020 IEEE 23rd …, 2020 – ieeexplore.ieee.org
… 23] investigated a deep learning model for extracting news to be … architecture to extract news level’s temporal information … Duan, “Deep Learning for Event-Driven Stock Prediction,” Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence , 2015, pp …

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models
W Wang, D Arya, N Novielli, J Cheng… – Proceedings of the 2020 …, 2020 – dl.acm.org
… experimented using verbal tense and mood as fea- tures for the task of argument extraction of Web contents [25]. Some researchers also worked on argument extraction from news, blogs and social media [30, 52]. Recently, Habernal et al …

Classification of relationship in argumentation using graph convolutional network
D Magalhães, A Pozo – ADBIS, TPDL and EDA 2020 Common Workshops …, 2020 – Springer
… In: Proceedings of the 12th International Conference on Artificial Intelligence and Law, pp. 98–107 (2009)Google Scholar. 17 … arXiv preprint arXiv:1906.09821 (2019). 22. Sardianos, C., Katakis, IM, Petasis, G., Karkaletsis, V.: Argument extraction from news …

Machine Learning to study the impact of gender-based violence in the news media
HJ Bello, N Palomar, E Gallego, LJ Navascués… – arXiv preprint arXiv …, 2020 – arxiv.org
… (a)?Workflow of the news extraction process: (i) online news, (ii) web scraping, (iii) database store, (iv) data processing by neural network, (v) data analysis (eg Topological Data Analyse) ?(b) ?Top 20 Topic Classification of news articles … Artificial intelligence could help protect …

A Semi-supervised Learning Method for Fake News Detection in Social Media
R Mansouri, M Naderan-Tahan… – 2020 28th Iranian …, 2020 – ieeexplore.ieee.org
… we propose SLD-CNN, a semi-supervised model for detecting fake news using automatic feature extraction from news articles, and … News verification by exploiting conflicting social viewpoints in microblogs” in Proceedings of AAAI Conference on Artificial Intelligence, pp.2972 …

An NLP and LSTM Based Stock Prediction and Recommender System for KOSDAQ and KOSPI
I Chatterjee, J Gwan, YJ Kim, MS Lee… – … Conference on Intelligent …, 2020 – Springer
… Recently, artificial intelligence, specifically machine learning and deep learning are contributing notably … Extracting the stock market-related news from different news portal, and then analysis using NLP is a good source of historical information that helps in predicting the future …

MYTHYA: Fake News Detector, Real Time News Extractor and Classifier
A Thakur, S Shinde, T Patil, B Gaud… – 2020 4th International …, 2020 – ieeexplore.ieee.org
… Hence classification of the news has become a difficult task. But the fake news issue may be tackled with the help of various machine learning algorithms and artificial intelligence … 1, the proposed model consists of two main components: news extraction and stance detection …

CLTS: A New Chinese Long Text Summarization Dataset
X Liu, C Zhang, X Chen, Y Cao, J Li – CCF International Conference on …, 2020 – Springer
… In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 7386–7393 (2019)Google Scholar. 37. Zhang, K., Zhang, C., Chen, X., Tan, J.: Automatic web news extraction based on DS theory considering content topics. In: Shi, Y., et al. (eds.) ICCS 2018 …

Event-based summarization method for scientific literature
J Zhang, K Li, C Yao, Y Sun – Personal and Ubiquitous Computing, 2020 – Springer
… Ontology-based event has good effect in event extraction from weather news [11]. Ontology is also used to realize violence event extraction from news, and the limitation is that it is hard to construct domain ontology and extend to other domains [16] …

Mapping of the Perception of Theft Crimes from Analysis of Newspaper Articles Online
M Saldaña, C Escobar, E Galvez… – 2020 15th Iberian …, 2020 – ieeexplore.ieee.org
… A tool is configured to extract news only from a list of newspapers established by the authors (formal media), in order to … Information and Pattern Discovery on the World Wide Web .” Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence, p558-567 …

InsurTech development: Evidence from Chinese media reports
S Cao, H Lyu, X Xu – Technological Forecasting and Social Change, 2020 – Elsevier
… This paper uses text mining methods and Python to extract news reports about InsurTech in China. The results reveal four main findings. (1) From … fields. In 2017, artificial intelligence became the new catchword in news reports. (4 …

Automatic Classification of Web News: A Systematic Mapping Study
M Pandolfi-González, C Quesada-López… – Proceedings of SAI …, 2020 – Springer
… In total, 33 studies used extraction from news web pages, and 25 used a dataset from the web … These studies mention News Aggregator Data Set from Artificial Intelligence Lab, Roma Tre University, Italy; TDT2 English Corpus, from Linguistic Data Consortium, University of …

Analysis and Application of Financial News Text in Chinese Based on Bert Model
Z Tan, B Chen, W Fang – Proceedings of the 2020 Asia Service Sciences …, 2020 – dl.acm.org
… Therefore, it is difficult to extract news-related standardization entities directly by using … FNTC, distinguish emotion of news and negative events for news, extracting related entity … for chinese word segmentation[C]//Thirty- Second AAAI Conference on Artificial Intelligence. 2018 …

A PDDL based Disaster Storyline Generation Approach
M Tang, J Ni, Q Zhou – 2020 39th Chinese Control Conference …, 2020 – ieeexplore.ieee.org
… In Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012. [12] Deyu Zhou, Haiyang Xu, Xin-Yu Dai, and Yulan He. Un- supervised storyline extraction from news articles. In IJCAI, pages 3014–3021, 2016. [13] Ruifeng Yuan, Jinxin Ni, and Qifeng Zhou …

Using a web scraping algorithm for component model generation in multiobjective optimization of power electronic applications
M Gladen, V Staudt – … and Applications (EPE’20 ECCE Europe), 2020 – ieeexplore.ieee.org
… Also, the presented method could be linked to artificial intelligence algorithms in order to extract diagrams from PDF data sheets. References … 1543-1547 [10] Z. Tan, et. al.: Title-Based Extraction of News Contents for Text Mining, IEEE Access, vol. 6, pp …

Wykorzystanie analizy tekstu do oceny zachowania stóp zwrotu indeksu WIG20
E Niedzielska – Informatyka Ekonomiczna, 2020 – ceeol.com
… Financial forecasting using character N-Gram analysis and readabili- ty scores of annual reports. In Y. Gao, and N. Japkowicz (Eds.), Advances in Artificial Intelligence (pp. 39-51) … Extracting news sentiment and establishing its relationship with the S&P500 Index …

Using text analysis for evaluating the behaviour of rates of return from the WIG20 index
E Niedzielska – Informatyka Ekonomiczna, 2020 – yadda.icm.edu.pl
… Financial forecasting using character N-Gram analysis and readabili- ty scores of annual reports. In Y. Gao, and N. Japkowicz (Eds.), Advances in Artificial Intelligence (pp. 39-51) … Extracting news sentiment and establishing its relationship with the S&P500 Index …

Argument mining: A survey
J Lawrence, C Reed – Computational Linguistics, 2020 – 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 …

EMOTION DETECTION AND SENTIMENT ANALYSIS BASED ON MACHINE LEARNING TECHNIQUES
M Ravichandran – xajzkjdx.cn
… REFERENCES [1]. 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 … Artificial Intelligence, 97(1- 2):245-271. [11] Mukhrjee, A. and B. Liu, 2010 …

Changing views: Persuasion modeling and argument extraction from online discussions
S Dutta, D Das, T Chakraborty – Information Processing & Management, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Parsing argued opinion structure in Twitter content
A Ouertatani, G Gasmi, C Latiri – Journal of Intelligent Information Systems, 2020 – Springer
In this paper, we address the opinion argumentation mining issue from Twitter data with the objective of further analyzing Twitter users’ preferences.

Artificial intelligence and extracting information from various media sources
V Ng, EE Rees, J Niu, A Zaghlool, H Ghiasbeglou… – CCDR, 2020 – canada.ca
… Artificial intelligence (AI), A branch of computer science dealing with the simulation of human intelligence by machines … Multiple temporal information extraction systems have been developed including TimeML (developed for temporal extraction of news articles in finance …

Extracting highlights of scientific articles: A supervised summarization approach
L Cagliero, M La Quatra – Expert Systems with Applications, 2020 – Elsevier
… Parallel efforts have also been devoted to applying supervised models in order to extract news article summaries. For instance, Neural Network-based approaches have been presented by Nallapati, Zhai, and Zhou (2017) and Zhou et al. (2018) …

Reconstructing Arguments from Noisy Text
N Dykes, S Evert, M Göttlinger, P Heinrich… – Datenbank …, 2020 – Springer
Social media are of paramount importance to public discourse. RANT aims to contribute methods and formalisms for extracting, representing, and processing a.

Arabic text summarization approaches: A comparison study
HS AlGhanem, RH Ajamiah – International Journal of Information …, 2020 – researchgate.net
… Brandow, Mitze, and Rau (1995) introduce another new summarization system called Automatic News Extraction System (ANES), which scans more than 20 thousand documents and words selected … In 2019 Amity International Conference on Artificial Intelligence (AICAI) (pp …

“Bend the truth”: Benchmark dataset for fake news detection in urdu language and its evaluation
M Amjad, G Sidorov, A Zhila… – Journal of Intelligent …, 2020 – content.iospress.com
… 3.1Data crawling. The Newspaper 7 library for Python was used as a web scraper to extract the content of news articles from newspaper web pages. This library offers advanced features to deal with web pages of newspapers and magazines to extract news articles …

A Corpus for Argumentative Writing Support in German
T Wambsganss, C Niklaus, M Söllner… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. arXiv:2010.13674v1 [cs.CL] 26 Oct 2020 A Corpus for Argumentative Writing Support in German Thiemo Wambsganss1, Christina Niklaus1, 3, Matthias Söllner2, Siegfried Handschuh1, 3 and Jan Marco Leimeister1 …

Text mining in big data analytics
H Hassani, C Beneki, S Unger, MT Mazinani… – Big Data and Cognitive …, 2020 – mdpi.com
… of data. Due to the increasing importance of artificial intelligence and its implementation on digital platforms, the application of parallel processing, deep learning, and pattern recognition to textual information is crucial. All types …

Examining the Effects of Pandemics on Stock Market Trends through Sentiment Analysis
S Biswas, I Sarkar, P Das, R Bose, S Roy – Journal of Xidian University – researchgate.net
… In our research experiments, we extract news and numerical data from Yahoo … 3. Fig. 3 Proposed Algorithm Flowchart B. Applying TextBlob and Python for Natural Language Processing Many view the rise and evolution of machine learning and artificial intelligence as linked …

Argument corpus development and argument component classification: A study in academic Spanish
JM García-Gorrostieta, A López-López… – … Scholarship in the …, 2020 – academic.oup.com
… In recent years, researchers have studied the task of automatic argument processing, addressing it in an interdisciplinary way using a combination of artificial intelligence techniques and theories of argumentation in order to improve the processing of information …

Text-based crude oil price forecasting
Y Bai, X Li, H Yu, S Jia – arXiv preprint arXiv:2002.02010, 2020 – arxiv.org
… world. 3.2. Data Preprocessing First, we extract news headlines by tokenization, stop-word filtering and word stemming. After these … granularity topics, in ‘Twenty-Second International Joint Conference on Artificial Intelligence’. Demirer …

A novel category detection of social media reviews in the restaurant industry
MU Khan, AR Javed, M Ihsan, U Tariq – Multimedia Systems, 2020 – Springer
… This information can be effectively applied for Aspect Category Detection (ACD). Similarly, people’s emotions and recommendation-based Artificial Intelligence (AI)-powered systems are in trend to assist vendors and other customers to improve their standards …

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online
M Saldaña – Journal of Information Systems Engineering and …, 2020 – jisem-journal.com
… However, in recent years, techniques such as natural language processing, a field of computing, artificial intelligence and linguistics have been developed that … The developed tool for crawl the web is configured to extract news only from a list of newspapers established by the …

Text Document Clustering using Hashing Deep Learning Method
NA Swidan, SK Guirguis, OG Abood, AS Hameed – researchgate.net
… methods. [21] Wu, YC (2016). Language independent web news extraction system based on text detection framework … and transfer learning applied to multimedia web mining. In International Symposium on Distributed Computing and Artificial Intelligence (pp. 124-131) …

Fake News Classification: A Machine Learning Approach
M Chowatia, R Mody, S Bangal – SAMRIDDHI: A Journal of …, 2020 – smsjournals.com
… Their method received an approximate 74% of accuracy. Using artificial intelligence helped them to detect the fake news problem … BeautifulSoup4, A Python library, has been utilized for extracting news headlines category-wise from the website …

Chinese–Vietnamese bilingual news event summarization based on distributed graph ranking
S Gao, Z Yu, Y Li, Y Wang, Y Zhang – Urban Intelligence and Applications, 2020 – Springer
… Due to the lack of a tool for extracting news elements from Vietnamese news, this paper simply completes the character … Z. Chen, Document summarization using conditional random fields, in Proceedings of 20th International Joint Conference on Artificial Intelligence, IJCAI 2007 …

A multi-source heterogeneous data analytic method for future price fluctuation prediction
L Chai, H Xu, Z Luo, S Li – Neurocomputing, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Structured prediction models for argumentative claim parsing from text
F Boltuži?, J Šnajder – Automatika: ?asopis za automatiku, mjerenje …, 2020 – hrcak.srce.hr
Page 1. Full Terms & Conditions of access and use can be found at https://www. tandfonline.com/action/journalInformation?journalCode=taut20 Automatika Journal for Control, Measurement, Electronics, Computing and Communications …

Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision
S Abdali, GG Bastidas, N Shah… – … , Misinformation, and Fake …, 2020 – Springer
… Our crawler extracts news content using the web API boilerpipe 2 and the Python library Newspaper3k. 3 For some few cases where these tools were not able to extract news content, we used Diffbot 4 which is another API to extract article text from web pages …

Empirical evaluation and study of text stemming algorithms
A Jabbar, S Iqbal, MI Tamimy, S Hussain… – Artificial Intelligence …, 2020 – Springer
… Artificial Intelligence Review volume 53, pages5559–5588(2020)Cite this article. 218 Accesses. Metrics details. Abstract. Text stemming is one of the basic preprocessing step for Natural Language Processing applications which …

Invisible stories that drive online social cognition
RP Subbanarasimha, S Srinivasa… – IEEE Transactions on …, 2020 – ieeexplore.ieee.org
Page 1. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 1 Invisible Stories That Drive Online Social Cognition …

An approach based on Combination of Features for automatic news retrieval
M Moradi, E Ghanbari, M Maeen, S Harifi – arXiv preprint arXiv …, 2020 – arxiv.org
… “Efficient extraction of news articles based on RSS … “Eliminating redundant and less-informative RSS news articles based on word similarity and a fuzzy equivalence relation.” In 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’06), pp. 465-473 …

Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting
L Barbaglia, S Consoli, S Manzan – Workshop on Mining Data for …, 2020 – Springer
… 4 Information Extraction from News … Qin, Y., Song, D., Cheng, H., Cheng, W., Jiang, G., Cottrell, GW: A dual-stage attention-based recurrent neural network for time series prediction. In: IJCAI International Joint Conference on Artificial Intelligence, pp …

A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus
T Daudert – arXiv preprint arXiv:2003.04073, 2020 – arxiv.org
Page 1. AMULTI-SOURCE ENTITY-LEVEL SENTIMENT CORPUS FOR THE FINANCIAL DOMAIN: THE FINLIN CORPUS Tobias Daudert Insight Centre for Data Analytics National University of Ireland, Galway tobias.daudert@insight-centre.org ABSTRACT …

VII-th International Young Scientists Conference on Information Technologies, Telecommunications and Control Systems
A Kruglov, K Aksenov – Journal of Physics: Conference Series, 2020 – iopscience.iop.org
… The goal is to develop an artificial intelligence-based model that would play the angry birds game based on the past human … This approach consists of three steps, ie: extracting news website structure, constructing a pattern of HTML content, and implementing the pattern as a …

Large-scale evaluation of keyphrase extraction models
Y Gallina, F Boudin, B Daille – Proceedings of the ACM/IEEE Joint …, 2020 – dl.acm.org
Page 1. Large-Scale Evaluation of Keyphrase Extraction Models Ygor Gallina LS2N, Université de Nantes Nantes, France ygor.gallina@univ-nantes.fr Florian Boudin LS2N, Université de Nantes Nantes, France florian.boudin@univ-nantes.fr …

A Framework for Identifying Event’s Relevance Comments in Twitter
D Peng, N Lin, X Lin, X Yan, S Jiang – China Conference on Information …, 2020 – Springer
… network. The convolution layer and the pooling layer are used for feature extraction of news and comment. Then … representations. In: 30th AAAI Conference on Artificial Intelligence, AAAI 2016 (2016)Google Scholar. 13. Pang …

News Text Summarization Based on Multi-Feature and Fuzzy Logic
Y Du, H Huo – IEEE Access, 2020 – ieeexplore.ieee.org
… studies based on calculating the importance of the sentences in the text to extract important sentences to form a summary, but these studies ignored the fuzziness of artificial intelligence, because different … In the step of extracting news text features, we will divide it into two parts …

News Recommendation with Topic-Enriched Knowledge Graphs
D Lee, B Oh, S Seo, KH Lee – Proceedings of the 29th ACM International …, 2020 – dl.acm.org
Page 1. News Recommendation with Topic-Enriched Knowledge Graphs Dongho Lee Yonsei University Seoul, South Korea dongholee@yonsei.ac.kr Byungkook Oh Yonsei University Seoul, South Korea bkoh@icl.yonsei.ac.kr …

AL: An adaptive learning support system for argumentation skills
T Wambsganss, C Niklaus, M Cetto, M Söllner… – Proceedings of the …, 2020 – dl.acm.org
Page 1. CHI 2020 Paper CHI 2020, April 25–30, 2020, Honolulu, HI, USA AL: An Adaptive Learning Support System for Argumentation Skills Thiemo Wambsganss University of St.Gallen St.Gallen, Switzerland thiemo.wambsganss@unisg.ch …

Bidirectional LSTM with Attention Mechanism for Automatic Bangla News Categorization in Terms of News Captions
M Shopon – Electronic Systems and Intelligent Computing, 2020 – Springer
… In this work, they used their own developed RSS crawler to extract news articles from different online newspapers … In: Twenty-ninth AAAI conference on artificial intelligenceGoogle Scholar. 9. Zhang X, Zhao J, LeCun Y (2015) Character-level convolutional networks for text …

Analysis of Text Collections for the Purposes of Keyword Extraction Task
A Vanyushkin, L Graschenko – Journal of Information and …, 2020 – hrcak.srce.hr
… Keyphrase Extraction Using Neighborhood Knowledge” Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, Chicago, pp … [33] L. Marujo, A. Gershman, J. Carbonell, and R. Frederking, “Supervised Topical Key Phrase Extraction of News Stories using …

Metric Learning for Ordered Labeled Trees with pq-grams
H Shindo, M Nishino, Y Kobayashi… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Metric Learning for Ordered Labeled Trees with pq-grams Hikaru Shindo1 and Masaaki Nishino2 and Yasuaki Kobayashi3 and Akihiro Yamamoto4 Abstract. Computing the similarity between two data points plays a vital role in many machine learning algorithms …

A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary
J Bernabé-Moreno, A Tejeda-Lorente… – Knowledge-Based …, 2020 – Elsevier
… Concretely, our contribution can be broken down into following items: • We have created a new technique to extract news and label them with a price change magnitude, creating a weighted news collection for further processing. • …

Deep Attentive Learning for Stock Movement Prediction from Social Media Text and Company Correlations
R Sawhney, S Agarwal, A Wadhwa… – Proceedings of the 2020 …, 2020 – aclweb.org
… seldom explored. Jue Liu (2019) combines feature extraction from news sentiment scores, financial information (price-earnings ra- tio, etc.) along with knowledge graph embed- dings through TransR. However, such existing …

Analysis of the trend of global power sources based on comment emotion mining
S Zhang, C Shi, X Jiang, Y Zhang, L Zhang – Global Energy Interconnection, 2020 – Elsevier
… Some scholars have conducted research on news information extraction, including the extraction of news event elements based on Chinese named entity recognition and referential digestion [5], the extraction of single document abstracts based on chapter primary and …

Multilinguistic approach towards Information Retrieval System for Big Data
A Xain, A Goyal, B Singh… – 2020 3rd International …, 2020 – ieeexplore.ieee.org
… It is a subset of Artificial Intelligence … III, issue no. IV, ISSN 2230-9659, February-2012. [11] Yi-Ran Gu and Meng-Xin Xu, “Keyword Extraction from News Articles Based on PageRank Algorithm”, in Journal of University of Electronic Science and Technology of China, vol. 46, no …

Knowledge Discovery of News Text Based on Artificial Intelligence
R Guangce, X Lei – ACM Transactions on Asian and Low-Resource …, 2020 – dl.acm.org
… In other words, the first procedure is a process of topic extraction from news text based on a probabilistic topic modeling approach called LDA [Blei et al. 2003] … Publication date: November 2020. Page 3. Knowledge Discovery of News Text Based on Artificial Intelligence 15:3 …

Hierarchical Attention Network in Stock Prediction
L Huang, H Yan, S Ying, Y Li, R Miao, C Chen… – China Conference on …, 2020 – Springer
… In: Proceedings of the AAAI Conference on Artificial Intelligence (2019)Google Scholar. 6. Kim, R., So, CH, Jeong, M., Lee, S., Kim, J., Kang, J.: HATS: a … Zhang, Z., Chen, W., Yan, H.: Stock prediction: a method based on extraction of news features and recurrent neural networks …

Crime event localization and deduplication
F Rollo, L Po – International Semantic Web Conference, 2020 – Springer
… Crime analysis Crime mapping News extraction Document similarity Duplicate detection. Download conference … 2019.8809142. 4. Arya, C., Dwivedi, SK: Content extraction from news web pages … Conference on Innovative Techniques and Applications of Artificial Intelligence, pp …

Complex network based supervised keyword extractor
S Duari, V Bhatnagar – Expert Systems with Applications, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Data mining model for food safety incidents based on structural analysis and semantic similarity
J Zhang, M Chen, E Hu, L Wu – Journal of Ambient Intelligence and …, 2020 – Springer
… 2014). However, previous studies on FSIs have mostly adopted simple statistical analysis and rarely used artificial intelligence. Consequently, FSI data from such studies are often incomplete or inaccurate, which can result in misleading information …

Fintech toolkit: smart regulatory and market approaches to financial technology innovation
DA Zetzsche, DW Arner, RP Buckley… – Available at SSRN …, 2020 – papers.ssrn.com
… ABCD Artificial Intelligence, Big Data, Cloud Services, Distributed Ledger Technology / Blockchain AFI Alliance for Financial Inclusion AI Artificial Intelligence AML Anti-Money Laundering ASIC Australian Securities and Investments Commission B2B Business-to-business B2C …

Sentiment Analysis on Social Media: Recent Trends in Machine Learning
RS Wadawadagi, VB Pagi – … of Research on Emerging Trends and …, 2020 – igi-global.com
Page 1. 508 Copyright © 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 24 DOI: 10.4018/978-1-5225-9643-1.ch024 ABSTRACT Due to the advent …

Stock market movement forecast: A systematic review
O Bustos, A Pomares-Quimbaya – Expert Systems with Applications, 2020 – Elsevier
… are from indexed journals, as presented in Table 2. The most relevant journals are Expert Systems with Applications with 8 articles, Neurocomputing with 3 articles, and Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture …

An efficient topic modeling approach for text mining and information retrieval through K-means clustering
J Rashid, SMA Shah, A Irtaza – Mehran University Research …, 2020 – search.informit.org
Page 1. An Efficient Topic Modeling Approach for Text Mining and Information Retrieval through K-means Clustering JUNAID RASHID*, SYED MUHAMMAD ADNAN SHAH*, AUN IRTAZA* RECEIVED ON 24.09.2018, ACCEPTED ON 09.10.2018 ABSTRACT …

Yet another approach to understanding news event evolution
S Lv, L Huang, L Zang, W Zhou, J Han, S Hu – World Wide Web, 2020 – Springer
With information explosion on the Internet, only returning ranked documents by search engines cannot satisfy people’s requirements on news events und.

An architectural framework for information integration using machine learning approaches for smart city security profiling
A Abid, A Abbas, A Khelifi, MS Farooq… – International …, 2020 – journals.sagepub.com
In the past few decades, the whole world has been badly affected by terrorism and other law-and-order situations. The newspapers have been covering terrorism and other law-and-order issues with rel…

Bridging Natural Language Processing AI techniques and Corporate Communications: towards an integrative model1
DGPPL Ihász – Információs Társadalom – inftars.infonia.hu
… they are utilized for. Keywords: business management, natural language processing, public relations, corporate com- munication, deep learning, information society, artificial intelligence, AI ethics 1. Introduction 1.1. The era of …

Mining arguments in scientific abstracts with discourse-level embeddings
P Accuosto, H Saggion – Data & Knowledge Engineering, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Sentiment Classification of Financial Microblogs through Automatic Text Summarization
H Li, Y Wang, X Mou, Q Peng – 2020 Chinese Automation …, 2020 – ieeexplore.ieee.org
Page 1. 5579 978-1-7281-7687-1/20/$31.00 2020 IEEE Sentiment Classification of Financial Microblogs through Automatic Text Summarization Haozhou Li Systems Engineering Institute Xi’an Jiaotong University Xi’an, China lihaozhou1126@stu.xjtu.edu.cn …

Low-resource Languages: A Review of Past Work and Future Challenges
A Magueresse, V Carles, E Heetderks – arXiv preprint arXiv:2006.07264, 2020 – arxiv.org
Page 1. Low-resource Languages: A Review of Past Work and Future Challenges Alexandre Magueresse, Vincent Carles, Evan Heetderks Department of Computer Science and Technology Tsinghua University, Beijing, China …

Joint event extraction along shortest dependency paths using graph convolutional networks
A Balali, M Asadpour, R Campos, A Jatowt – Knowledge-Based Systems, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Mitigating Fake Digital Media and Quality Assurance
H Sehgal, X Chen, K Jiang – 2020 – scholarcommons.scu.edu
… Using Artificial Intelligence and Machine learning, we plan to only recommend or show social media accounts that are of … The following are difficulties we encountered, and lessons we learned: 1. Finalizing a method to extract news articles given select keywords …

A Review of Unsupervised Keyphrase Extraction Methods Using Within-Collection Resources
C Sun, L Hu, S Li, T Li, H Li, L Chi – Symmetry, 2020 – mdpi.com
… Received: 22 October 2020 / Revised: 7 November 2020 / Accepted: 9 November 2020 / Published: 12 November 2020. (This article belongs to the Special Issue Recent Advances in Social Data and Artificial Intelligence 2019 …

Unlocking transfer learning in argumentation mining: A domain-independent modelling approach
T Wambsganss, N Molyndris… – 15th International …, 2020 – alexandria.unisg.ch
… ICAIL. (2013). 21. Sardianos, C., Katakis, IM, Petasis, G., Karkaletsis, V.: Argument Extraction from News. 56–66 (2015). 22 … In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015). 27 …

Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment Analysis
GA de Oliveira Júnior, R de Oliveira Albuquerque… – Sensors, 2020 – mdpi.com
… 2. Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases 9 …

Verifying baselines for crisis event information classification on twitter
JM Crow – Proceedings of the 17th International Conference on …, 2020 – core.ac.uk
Page 1. Justin Crow Crisis information classification on Twitter Verifying baselines for crisis event information classification on Twitter Justin Michael Crow TAG lab ? @ University of Sussex † jmcrow@protonmail.com ABSTRACT …

On the Construction of Web NER Model Training Tool based on Distant Supervision
CL Chou, CH Chang, YH Lin, KC Chien – ACM Transactions on Asian …, 2020 – dl.acm.org
… CCS Concepts: • Computing methodologies ? Artificial intelligence; Natural language processing; Information extraction; Additional Key Words and Phrases … person name recognition from news articles (News Per), food and location names extraction from news forum PTT1 …

WEB USER PROFILE IMPROVISATION BY SAMPLING SITE STYLE TREE WITH DOM STRUCTURE AND NEURAL NETWORK
S Ganeshmoorthy, R Priya – academia.edu
… doi:10.1007/s10586-018-2366-x [5] Arya, C., & Dwivedi, SK (2018). Content extraction from news web pages using tag tree … Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing – AIIPCC ’19 …

Fake news classification in European Portuguese language
JFC Rodrigues – 2020 – repositorio.iscte-iul.pt
… Chapter 3 is dedicated to FakePT dataset creation description. This chapter will cover all the work developed from the news extraction to the creation and exploration of the dataset (FakePT) … Extraction of Some Words (can, might) …

Multi-document semantic relation extraction for news analytics
Y Sheng, Z Xu, Y Wang, G de Melo – World Wide Web, 2020 – Springer
Page 1. World Wide Web https://doi.org/10.1007/s11280-020-00790-2 Multi-document semantic relation extraction for news analytics Yongpan Sheng1 ·Zenglin Xu1 ·Yafang Wang2 ·Gerard de Melo3 Received: 8 November …

A semantic approach to extractive multi-document summarization: Applying sentence expansion for tuning of conceptual densities
M Bidoki, MR Moosavi, M Fakhrahmad – Information Processing & …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Towards an automated repository for indexing, analysis and characterization of municipal e-government websites in Mexico
SR Coria, L Marcos-Santiago… – arXiv preprint arXiv …, 2020 – arxiv.org
… Automatic scraping and a tree edit distance algorithm are used for news extraction from the web 3 2007 Liu Textbook on web data mining that includes scraping techniques 4 2007 Markov and … In a subsequent stage, the usefulness of artificial intelligence methods (eg from the …

Media Content Analysis of Covid-19 Virus Using Natural Language Processing Techniques
A Rouxel – 2020 – norma.ncirl.ie
… Objective4 involved the exploratory analysis as preliminary work to modelling. Objective5 involved the extraction of news and social media topics with LDA topic modelling algorithm. Objective6 consisted in a sentiment analysis with polarity computation Page 5. 3 …

Framing National Security Concerns in Mobile Telecommunication Infrastructure Debates: A Text Mining Study of Huawei
KCC Yang, Y Kang – Huawei Goes Global, 2020 – Springer
… and services through gigabit speeds, and significantly improved performance and reliability.” 5G is fundamental to the successful deployment of more advanced information and communications technologies (ICT) and applications such as artificial intelligence (AI), Internet …

Forecasting election results by studying brand importance in online news
AF Colladon – International Journal of Forecasting, 2020 – Elsevier
… 2.74% are written in the Italian language). 1 This system allows personalized search queries, with the possibility of extracting news articles that match specific keywords (Leban et al., 2014). The search queries in this case were …

YAKE! Keyword extraction from single documents using multiple local features
R Campos, V Mangaravite, A Pasquali, A Jorge… – Information …, 2020 – Elsevier
… other. Gold Keywords: philosophy of mind, information-based semantics, content atomism, ibs, language of thought, lot, cognitive states, beliefs, desires, artificial intelligence, cognitive systems, philosophical aspects. Although …

AI in Business Applications: From the Lens of Decision-Making
N de Vasconcelos Ribeiro – researchgate.net
… Page 2. 2 Abstract Artificial Intelligence has emerged as an enabling technology for several purposes, including decision-making … Finally, I made recommendations for future studies. 2. Introduction The concept of Artificial Intelligence (AI) dates back to the 1950s, when AI was …

Unveiling the success factors of BTS: a mixed-methods approach
SH Lee, S Choi, HW Kim – Internet Research, 2020 – emerald.com
Unveiling the success factors of BTS: a mixed-methods approach – Author: So-Hyun Lee, Soobin Choi, Hee-Woong Kim.

Social networking mood recognition algorithm for conflict detection and management of Indian educational institutions
S Sengupta, A Vaish – Social Network Analysis and Mining, 2020 – Springer
Conflict detection and management is a much-needed strategy in educational institutions nowadays. The frequency of clashes, protests, strikes and agitation.

Natural Language Processing and Text Mining with Graph-Structured Representations
B Liu – 2020 – era.library.ualberta.ca
… many studies about natural language processing and understanding, computational linguistics, machine learning, or more generally, artificial intelligence. In the early stage of natural language processing, researchers developed symbolic …

A Comparative Study on Large-scale Multi-label Text Classification of Social Media
B Huang – 2020 – helda.helsinki.fi
… Machine learning is a subfield of artificial intelligence. Its task is to make computers think like a human and solve … [CJS11]. The text in this thesis work, extracting news text from Facebook posts, is neither as standard and well-shaped as traditional news text nor as colloquial as …

Exploring data leakage via supervised learning
A Khaleghimoghaddam – 2020 – dalspace.library.dal.ca
… and do the experiments on them. Moreover, Artificial Intelligence (AI) is another outcome of the recent develop- ments, which is developing intelligence for machines to learn from the experience … from text. They created their own dataset by extracting news headlines from major …

Interpretable Event Detection and Extraction using Multi-Aspect Attention
S Mehta, MR Islam, H Rangwala, N Ramakrishnan – 2020 – people.cs.vt.edu
Page 1. Interpretable Event Detection and Extraction using Multi-Aspect Attention Sneha Mehta Virginia Tech, USA snehamehta@cs.vt.edu Mohammad Raihanul Islam Virginia Tech, USA raihan8@cs.vt.edu Huzefa Rangwala …

Improving the Stock Market Prediction with Social Media via Broad Learning
X Zhang, SY Philip – World Scientific Book Chapters, 2020 – World Scientific
Page 1. Chapter 18 Improving the Stock Market Prediction with Social Media via Broad Learning Xi Zhang and Philip S. Yu Contents 18.1 Introduction . . . . . 678 18.2 Exploiting Investors Social Network for Stock Prediction . . . . 680 18.2.1 Overview …

Automatic text summarization: A comprehensive survey
WS El-Kassas, CR Salama, AA Rafea… – Expert Systems with …, 2020 – Elsevier
… Figure 1. (a) Single-document or (b) Multi-document, automatic text summarizer. ATS is one of the most challenging tasks in Natural Language Processing (NLP) and Artificial Intelligence (AI) in general. ATS research began …

Analysis of OWA operators for automatic keyphrase extraction in a semantic context
Y Pérez-Guadarramas… – Intelligent Data …, 2020 – content.iospress.com
Automatic keyphrase extraction from texts is useful for many computational systems in the fields of natural language processing and text mining. Although a number of solutions to this problem have been described, semantic analysis is one of the least.

A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
Y Ma, L Zong, P Wang – arXiv preprint arXiv:2005.11706, 2020 – arxiv.org
… Third, it lacks a solution to represent unseen events based on the trained network. In addition to converting news into continuous vectors, structured Event Extraction from news also allows statistical analysis based on the event type [19,30] …

Challenges and strategies for beginners to solve research questions with DH methodologies on a corpus of multilingual Philippine periodicals
RO Casanova – … in Periodicals: Methodological challenges for a …, 2020 – books.google.com
… There are at the moment at least two special issues on Machine Translation for Low-Resource Languages being prepared simultaneously in 2020: one for the journal Machine Translation and another one for the American Journal of Artificial Intelligence …

Analysis and design of computational news angles
E Motta, E Daga, AL Opdahl, B Tessem – IEEE Access, 2020 – ieeexplore.ieee.org
Page 1. Received May 8, 2020, accepted June 8, 2020, date of publication June 29, 2020, date of current version July 14, 2020. Digital Object Identifier 10.1109/ACCESS. 2020.3005513 Analysis and Design of Computational News Angles …

Event Geoparser with Pseudo-Location Entity Identification and Numerical Argument Extraction Implementation and Evaluation in Indonesian News Domain
A Dewandaru, DH Widyantoro, S Akbar – ISPRS International Journal of …, 2020 – mdpi.com
… 2. University Center of Excellence on Artificial Intelligence for Vision, Natural Language Processing & Big Data Analytics (U-CoE AI-VLB), Bandung Institute of Technology, Bandung 40132, Indonesia. *. Author to whom correspondence should be addressed. ISPRS Int. J. Geo-Inf …

Event evolution model for cybersecurity event mining in tweet streams
X Liu, J Fu, Y Chen – Information Sciences, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Corpus Linguistics approaches to trainee translators’ framing practice in news translation
Y Pan – Translation & Interpreting, 2020 – trans-int.org
Page 1. Translation & Interpreting Vol. 12 No. 1 (2020) 90 Corpus Linguistics approaches to trainee translators’ framing practice in news translation Yun Pan Shanghai Maritime University, China ypan@shmtu.edu.cn DOI : 10.12807/ti.112201.2020.a06 …

A General Framework for First Story Detection Utilizing Entities and their Relations
NE Panagiotou, C Akkaya… – … on Knowledge and …, 2020 – ieeexplore.ieee.org
Page 1. 1041-4347 (c) 2019 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Altmetrics data providers: A metaanalysis review of the coverage of metrics and publication
JL Ortega – El profesional de la información (EPI), 2020 – elprofesionaldelainformacion.com
… services. Graph 7 describes a steady increase of news events in each provider, especially in the last three years. Only three services (Altmetric.com, PlumX and CED) were used in the literature to extract news mentions. Altmetric …

A review of keyphrase extraction
E Papagiannopoulou… – … Reviews: Data Mining …, 2020 – Wiley Online Library
Abstract Keyphrase extraction is a textual information processing task concerned with the automatic extraction of representative and characteristic phrases from a document that express all the key …

Story Forest: Extracting Events and Telling Stories from Breaking News
B Liu, FX Han, D Niu, L Kong, K Lai, Y Xu – ACM Transactions on …, 2020 – dl.acm.org
… Extracting events accurately from vast news corpora and organize events logically is critical for news apps … extraction, community detection, and graph-based clustering … Then, we separately introduce the detailed procedures of event extraction from news documents, and how we …

Review on Social Network Trust With Respect To Big Data Analytics
AS Kumar, S Revathy – 2020 4th International Conference on …, 2020 – ieeexplore.ieee.org
… 14. Choi, MHK, Croft, W.: Dependency trigram model for social relation extraction from news articles. In: SIGIR, pp. 1047–1048 (2012) 15 … An Efficient Security Framework for Data Migration In A Cloud Computing Environment. Journal of Artificial Intelligence, 1(01), 45-53. 27 …

Event Geoparser with Pseudo-Location Entity Identification and Numerical Extraction in Indonesian News Corpus
A Dewandaru, DH Widyantoro, S Akbar – 2020 – preprints.org
… 1 School of Electrical and Informatics Engineering, Institut Teknologi Bandung, Indonesia 2 PUI-PT Artificial Intelligence for Vision, Natural Language … In Indonesian context, there is the 5W1H-style news extraction and corpus [45], but without geoparsed toponyms and detailed …

Huapu-CP: from knowledge graphs to a data central-platform
W Xin-Dong, S Shao-Jing, J Ting-Ting… – Acta Automatica …, 2020 – aas.net.cn
… Huapu-CP???? ? 1 ??, ???? 1.2 ????????? 7 ? ??????????, ??????????? ????. 1) HAO ??. HAO ???????? (Hu- man intelligence)????? (Artificial intelligence) 10 ? ????: ??????????: ???? …

Incorporating Task-specific Features into End-to-End Models to Extract Argument Structures from Natural Language Corpora.
L Xue – 2020 – repository.lib.ncsu.edu
Page 1. ABSTRACT XUE, LINTING. Incorporating Task-specific Features into End-to-End Models to Extract Argument Structures from Natural Language Corpora. (Under the direction of Dr. Collin F. Lynch.) Argumentation is …

Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs
M Lenz, P Sahitaj, S Kallenberg, C Coors… – arXiv preprint arXiv …, 2020 – arxiv.org
… p. 49–54. Available from: https://www.aclweb.org/anthology/W13-2707. [6] Goudas T, Louizos C, Petasis G, Karkaletsis V. Argument Extraction from News, Blogs, and Social Media. In: Likas A, Blekas K, Kalles D, editors. Artificial Intelligence: Methods and Applications …

Context-aware quality assessment of structured and unstructured data
SSGS Mylavarapu – 2020 – shareok.org
Page 1. CONTEXT-AWARE QUALITY ASSESSMENT OF STRUCTURED AND UNSTRUCTURED DATA By SESHA SAI GOUTAM SARMA MYLAVARAPU Bachelor of Technology in Computer Science and Engineering Jawaharlal Nehru Technological University …

Small Survey Event Detection
D Datta – arXiv preprint arXiv:2011.05801, 2020 – arxiv.org
… 1999. Probabilistic latent semantic analysis. In Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., 289–296 … [28] Øystein Repp and Heri Ramampiaro. 2018. Extracting news events from microblogs …

Workflow-Aware Automatic Fault Diagnosis for Microservice-Based Applications With Statistics
T Wang, W Zhang, J Xu, Z Gu – IEEE Transactions on Network …, 2020 – ieeexplore.ieee.org
Page 1. 1932-4537 (c) 2020 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

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