Twitter4J & Natural Language 2015 (@t4j_news) {related:}


Twitter4J is a Java library for Twitter API.


See also:

100 Best AI & NLP Resources: Java100 Best GitHub: Twitter OAuth100 Best GoogleCode: Twitter-botApache OpenNLP 2014IRSTLM (IRST Language Modeling) Toolkit 2013Stanford ClassifierTwitter Bots 2014

VazaBarris and Poxim Corpora: Augmenting NLP Software Ability to Deal with Informal Brazilian Portuguese F Santos, N Silva, L Barbosa, T Bispo, CM Junior… – corpora – … The crawler was implemented using Twitter4j [38], a Java interface to public Twitter APIs. … IV. EVALUATION From section II we can see the great importance of a language model to natural language processing aplications, so is very important evaluate a language model. … Related articles All 2 versions

Framework for user identification using writeprint approach AM Murkute, J Gadge – Technologies for Sustainable …, 2015 – … The twitter4j java library is been used to download tweets [9]. Initially 10-15 user will be selected from various different professions like … There are various natural language processing tools which can be used for part of speech tagger like Apache OpenNLP tool, Stanford Part-Of … Related articles

Using Social Network to Support Smart City Initiatives M Figueredo, J Ribeiro, A Emanuel, A Cacho… – Proceedings of the 21st …, 2015 – … 218-228. [9] Bird, S., Klein, E. and Loper, E. 2009. Natural Language Processing with Python. O’Reilly, CA. … Apache Zookepper. Disponível em: https://zookeeper.apache. org/. Acessado em Junho /2015 [12] Twitter4J. Twitter4J. 2015. … Related articles

Big Data Sentiment Analysis using Hadoop MK Kurian, S Vishnupriya, R Ramesh, G Divya… – International Journal for …, 2015 – … [13] [14] Building Machine Learning Algorithms … 2010. Asurvey on the role of negation in Sentiment Analysis. Proceedings of the workshop on negation speculation in natural language processing 60–68, Association for Computational Linguistics. … Cited by 1 Related articles All 3 versions

Building Resources for Philippine Languages N Oco, LR Syliongka, T Allman, RE Roxas – ilo, 2015 – … emergent). The resources collected and developed can serve as catalyst in the fields of natural language processing, digital signal processing and linguistics, among others. … 4.2 Initial Work on Natural Language Generation Aside … Cited by 1 Related articles

Elucidating the Public Sentiment Fluctuations on Twitter B Kolte – … There are two common methods in sentiment analysis that are statistical natural language processing and machine learning.(1)With natural language processing, the opinion polarity of a sentence or a … ( and Twitter4J ( … Related articles All 3 versions

Sentiment analysis for Twitter real time tweets K Indu, B Prajna – … Sentiment analysis (or opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective … In order to take advantage of this stream, Twitter4j had to be installed, this java library was necessary for java to … Related articles

A New Big Data Framework for Customer Opinions Polarity Extraction A Mars, MS Gouider, LB Saïd – International Conference: Beyond …, 2015 – Springer … This task is divided by two task: POS-tagging. Before discussing the application of part-of-speech tagging from natural language processing, we first give some example sentences. Example 1 Input. The pictures are very clear. Output. … 6. Experimentation results. 4.3 Tools. Twitter4j … Related articles

Sentiment Analysis of Data Collected from Social Media for Improving HealthCare PK Chahal – 2015 – … Natural Language Processing (NLP) algorithm. Natural Language Processing is an interaction between human languages and computers. … The proposed system is implemented in Java as front end and MySQL as back end. Twitter4j, XAMPP and Java swing are mainly used. … Related articles All 2 versions

Part-of-speech tagging for code-mixed English-Hindi Twitter and Facebook chat messages A Jamatia, B Gambäck, A Das – RECENT ADVANCES IN, 2015 – … argue that the common denominator of social me- dia text is not that it is ‘noisy’ and informal per se, but that it describes language in (rapid) change, which in turn has major implications for natural language processing: if … 1 … Cited by 12 Related articles All 14 versions

Exploiting language models to classify events from Twitter DT Vo, VT Hai, CY Ock – Computational intelligence and neuroscience, 2015 – … is a popular microblogging and social networking service that presents many opportuni- ties for researches in natural language processing (NLP … We developed a tool using Twitter API ( to collected documents including tweets, retweets, responses, and quoted … Cited by 3 Related articles All 10 versions

Semeval-2015 task 11: Sentiment analysis of figurative language in twitter A Ghosh, G Li, T Veale, P Rosso… – Proceedings of the …, 2015 – … Natural language researchers have attacked the problems associated with figurative interpretations 470 Page 513. … “literally” and “virtually” are reliable markers of metaphorical intent, as in “I literally want to die”). Datasets were collected using the Twitter4j API (http://twitter4j. … Cited by 38 Related articles All 15 versions

FILIET: An Information Extraction System For Filipino Disaster-Related Tweets RVJ Regalado, B Kyle Mc Hale, JPF Garcia… – 2015 – … 2 Twitter4J – A Java library for the Twitter API. … Learning IE rules for a set of related concepts. In Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning- Volume 7 (pp. 115-118). … Related articles

Real-time detection of traffic from twitter stream analysis E D’Andrea, P Ducange, B Lazzerini… – IEEE Transactions on …, 2015 – … The main difficulty encountered in dealing with problems of text mining is caused by the vagueness of natural language. … public stream of tweets; 2) Twitter4J,5 a Java library that we used as a wrapper for Twitter’s API; 3) the Java API provided by Weka (Waikato Environment for … Cited by 20 Related articles All 4 versions

Implicit Location Sharing Detection in Social Media from Short Turkish Text DD Yavuz, O Abul – arXiv preprint arXiv:1512.00682, 2015 – … is also popular from tweets and recently the research by Ta?ç?o?lu shows it is possible to detect irony in Turkish micro block texts [8]. It uses sentimental analysis techniques, data mining algorithms and natural language processing to … In this step we collected tweets via Twitter4j. … Related articles All 3 versions

Feature oriented sentiment analysis in social networking sites to track malicious campaigners P Shilpa, SDM Kumar – Intelligent Computational Systems ( …, 2015 – … It is an application of the widely explored fields of Natural Language Process- ing, Computational Linguistics and Text Analytics … Our application, developed in Java, uses the Java ‘twitter4j’ library and the Twitter API v1.15 together to gather the tweets and all the public details of a …

Shared task on sentiment analysis in indian languages (sail) tweets-an overview BG Patra, D Das, A Das, R Prasath – International Conference on Mining …, 2015 – Springer … words. We used the TWITTER4J 2 , a Java implementation of Twitter API to download the tweets. The … model. In: Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP 2013), Japan, pp. 674 … Cited by 9 Related articles All 5 versions

Combining Automatic and Manual Approaches: Towards a Framework for Discovering Themes in Disaster-related Tweets LR Syliongka, N Oco, AJ Lam, CR Soriano… – Proceedings of the 24th …, 2015 – … Analyses reveal that the use of automated Natural Language Processing (NLP) approach has the potential to deal with huge volumes of tweets by … 2 Data from the National Disaster Risk Reduction and Management Council: 3 … Cited by 1 Related articles All 4 versions

Sentiment analysis of investor opinions on twitter B Dickinson, W Hu – Social Networking, 2015 – … In order to make sense of the large portion of this data which is text-based, Natural Language Processing tools can be used to rigorously … This interface was used through the Twitter4j java library to filter all available live tweets for any containing any complete company name, or … Cited by 7 Related articles All 5 versions

Linking Obesity and Tweets M Anwar, Z Yuan – International Conference on Smart Health, 2015 – Springer … Natural Language Toolkit. 19. Twitter API. overview/documentation. 20. Weka 3: Data Mining Software in Java. http://www.cs.waikato. 21. Twitter4J: A Java library for the Twitter API. … Related articles

MapReduce functions to analyze sentiment information from social big data I Ha, B Back, B Ahn – International Journal of Distributed Sensor …, 2015 – … to discover and extract subjective informa- tion from the original data with the aid of text analytics, computational linguistics, and natural language processing [6]. Up … After the acquisition of the historical data, Twitter4j has been used to collect data for continuous incremental data. … Cited by 8 Related articles All 7 versions

Lexicon-Based System for Drug Abuse Entity Extraction from Twitter F Jenhani, MS Gouider, LB Said – International Conference: Beyond …, 2015 – Springer … character. In addition, natural language processing tools (NLP) are not conceived to manage social data and cannot extract semantic and domain-specific entities. … We use Twitter4j library for implementation. 3.3 Data Cleaning. Twitter … Related articles

Crowd SA??? towards adaptive and situation-driven crowd-sensing for disaster situation awareness A Salfinger, W Retschitzegger… – … on Cognitive Methods …, 2015 – … After storing the retrieved SM messages in a central Tweet Repository, the next processing step comprises the Semantic Annotation Pipeline, ie, performs Natural Language Processing (NLP) on … 12 13 … Cited by 5 Related articles All 5 versions

Survey On Predicting Crime Using Twitter Sentiment And Weather Data CS Sadhana – 2015 – … An approach is based on the automatic semantic analysis and understanding of natural language tweets, combined with dimensionality reduction via latent … Twitter4J, an unofficial Java library for the Twitter Application Program Interface (Twitter API), was used to automate the … Related articles

Mining domain information from social contents based on news categories YF Huang, CT Huang – Proceedings of the 19th International Database …, 2015 – … Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing –Text analysis. … Totally, 3000 tweets for each category are crawled using twitter4j with the thresholds of Favorite Count and Retweet Count greater than 1 for each tweet, and then … Cited by 1 Related articles All 2 versions

Applying sentiment and emotion analysis on brand tweets for digital marketing AZ Syed – … (AEECT), 2015 IEEE Jordan Conference on, 2015 – … 2. 1. To test the proposed approach, we collect 10,000 English tweets using the open source Twitter4j library to collect streams of tweets before analyzing their sentiments and emotions. … and Empirical methods in Natural language Processing HLT/EMNLP (pp. 347-354). … Related articles

Detecting adverse drug effects using link classification on twitter data S Katragadda, H Karnati, M Pusala… – … (BIBM), 2015 IEEE …, 2015 – … analyzed information gathered from Twitter messages to identify ADEs [25]. Natural language processing is used to identify textual and semantic features from tweets. The semantic features are generated using UMLS metathe saurus. … This 3!en/index.html 677 … Cited by 1 Related articles All 2 versions

User-weighted sentiment analysis for financial community on Twitter AB Eliaçik, E Erdo?an – Innovations in Information Technology ( …, 2015 – … Sentiment classification using machine learning techniques,” Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 79–86, 2002. … [20] Y. Yamamoto, “Twitter4j” Internet:, [March,03,2014]. … Cited by 2 Related articles All 2 versions

Evidence-Based Sentiment Analysis of Real Time Data from Twitter R Patwari – 2015 – … 11 3.9 Natural Language Processing ….. 12 … Sentiment analysis is a combination of natural language processing, computational linguistics, informational retrieval, machine learning and artificial intelligence so on. … Related articles

GOAALLL!: Using sentiment in the World Cup to explore theories of emotion J Gratch, G Lucas, N Malandrakis… – Affective Computing …, 2015 – … To capture tweets, we utilized a java-based recorder employing Twitter Streaming API and Twitter4J Java library. … 2006. p. 859-860. 14. Bird, S., E. Klein, and E. Loper, Natural Language Processing with Python. 2009: O’Reilly Media, Inc. 15. … Related articles All 5 versions

SVM based approach for opinion classification in Arabic written tweets R Bouchlaghem, A Elkhelifi… – Computer Systems and …, 2015 – … A. Data collection To create our corpus, we set out to collect data from one of the most known social networks : Twitter2. We have implemented a specific TwitterCollecter module based on the Twitter4j java API. … Recent Advances in Natural Language Processing, pp. …

A polarity analysis framework for Twitter messages ACES Lima, LN de Castro, JM Corchado – Applied Mathematics and …, 2015 – Elsevier … In natural language the subjectivity concepts involve aspects of language used to express opinions, evaluations, sentiment, speculations and emotion [31]. … To evaluate the system they collected 2.116 tweets with Twitter4J and classified them manually. … Cited by 5 Related articles All 6 versions

Building a Custom Sentiment Analysis Tool based on an Ontology for Twitter Posts KV Ruba, D Venkatesan – Indian Journal of Science and …, 2015 – … The tweets are retrieved using the Twitter4J API but instead of performing the sentiment analysis on their own effort they depended on third party Open-Dover for analyzing the sentiment so the methodology used by … Usually natural language processing is used for text mining. … Cited by 4 Related articles All 3 versions

FRel: A Freshness Language Model for Optimizing Real-Time Web Search M Bambia, R Faiz – Intelligent Systems in Cybernetics and Automation …, 2015 – Springer … In order to form our pool of fresh terms, we use Twitter4J API to extract the more recent tweets by submitting each query to Twitter. … In: Proc. Empirical Methods in Natural Language Processing, EMNLP 2006, pp. 551–559 (2006) Page 10. 216 M. Bambia and R. Faiz … Related articles All 3 versions

Detecting Egyptian Dialect Microblogs using a Boosted PSO-based Fuzzier MN Al-Gedawy – Egyptian Computer Science Journal, 2015 – … 4.1 Crawling and annotating the dataset Twitter4j has been used for collecting 15000 tweets from Jan to June 2014. … References [1]. Habash, N. (2010). Introduction to Arabic natural language processing. San Rafael, Calif.: Morgan & Claypool, pp. 11-17. … Related articles

Analysis of social media messages for disasters via semi supervised learning S Nar, YS Akgul – 2015 23nd Signal Processing and …, 2015 – … A. Sosyal Medya Smiflandmcl Deneyleri Sosyal medya mesajlarmm bir l(]Sml Twitter4j isimli yaZlhm geli tirme ara yuzu ile elde edilmektedir. … [6] D. Jurafsky and H. James, Speech and language processing an introduction to natural language processing, computational … Related articles

Parameter-Free Probabilistic API Mining at GitHub Scale J Fowkes, C Sutton – arXiv preprint arXiv:1512.05558, 2015 – … SNIFF [11] finds abstract code examples relevant to a natural language query expressing a desired task. … For example, consider the client methods in Figure 1 which all share the common twitter4j API call sequence: conf.ConfigurationBuilder. conf.ConfigurationBuilder … Cited by 1 Related articles All 3 versions

Design challenges/solutions for environments supporting the analysis of social media data in crisis informatics research KM Anderson, AA Aydin, M Barrenechea… – … (HICSS), 2015 48th …, 2015 – … for integrating all of the analytical work that Project EPIC has generated, including our work on using natural language processing (NLP) to … The tweets were consumed by a Twitter4j Java application and then transferred into a PostgreSQL database using the PostGIS spatial … Cited by 6 Related articles All 6 versions

Social genome mining for crisis prediction P Wlodarczak, S Qian, J Soar, M Ally – 2015 – … For instance Twitter4j or Spring social are free libraries for Java developers. Other options are screen scrapers, especially if no API is provided. … It is a method of natural language processing (NLP) and is used for instance in spam filtering or sentiment analysis. … Related articles All 3 versions

“In reality there are as many religions as there are papers”–First Steps Towards the Generation of Internet Memes D Costa, HG Oliveira, AM Pinto – Proceedings of the Sixth …, 2015 – … Natural language processing is made by the OpenNLP toolkit8 and its models trained for Portuguese tokenization and part-of-speech tagging. … 5 6 7 8 9 … Related articles All 4 versions

Stock Market Prediction using Social Media Analysis O Bahceci, O Alsing – 2015 – … 5 Representation of Data . . . . . 5 2.1.5 Natural Language Processing . . . . . 5 2.1.6 Correlation and Causality . . . . . … 14 Twitter4j . . . . . 14 3.3 Stock data collection . . . . . … Related articles

A Language Detection System for Short Chats in Mobile Games P Wang, N Bojja, S Kannan – SocialNLP 2015@ NAACL, 2015 – … Due to their importance, Natural Language Processing (NLP) applications have been applied to social media texts, eg, Liu et al.(2011) and Ritter et al.(2011) recognized named entities in Twitter messages, and Foster et al … All the data are encoded in UTF-8. 1http://twitter4j. … Cited by 2 Related articles All 7 versions

Free from Publisher Device nimbus: an intelligent middleware for smarter services for health and fitness EA Oliveira, M Kirley, JCB Fonseca… – International Journal of …, 2015 – Page 1. Research Article Device Nimbus: An Intelligent Middleware for Smarter Services for Health and Fitness Eduardo Araujo Oliveira,1 Michael Kirley,1 Jorge CB Fonseca,2 and Kiev Gama2 1Department of Computing and … Cited by 2 Related articles All 7 versions

Twitter event detection and modeling with TEWS M Vigo, Z Bellahsene, D Ienco… – 14th International …, 2015 – … We focus on simple events only. 3 … As future work, we plan to improve the natural language processing aspects of the tool (such as named entity recognition and word sens disambiguation in or- der to filter out false entities, (ie, exploit DBPedia). … Related articles All 13 versions

DisasterMapper: A CyberGIS framework for disaster management using social media data Q Huang, G Cervone, D Jing, C Chang – 2015 – … 2 3 table for storing social media data. RCFileInputFormat stores the data in a column oriented manner. … 2008. Washington, DC. 6. Verma, S., et al. Natural Language Processing to the Rescue? … Cited by 2 Related articles All 2 versions

Disaster Detection and Reporting System through Analysis of Twitter Tweets NS Komatireddy – 2015 – … data from the twitter account. Alert notifications are sent to the users through google account. 4.1.1 Twitter4j Twitter4j is an unofficial Java library for the Twitter API. Twitter services can be integrated with the Java application with Twitter4j [23]. Page 27. 20 4.1.2 NetBeans IDE … Related articles

Twitter Blogs Mining using Supervised Algorithm GS Potdar, RN Phursule – International Journal of Computer …, 2015 – … Sentiment analysis is a type of natural language processing for tracking the mood of the public about a particular product or topic. … The Twitter streaming API allows real time access to publicly available data on OSN. Twitter4J library has been used for this purpose. … Related articles All 5 versions

When can social media lead financial markets? IN Zheludev – 2015 – Page 1. UK Ph.D. Centre in Financial Computing UNIVERSITY COLLEGE LONDON Ph.D. in Financial Computing Thesis When Can Social Media Lead Financial Markets? Ilya Nikolay Zheludev Supervisor: Dr. Robert Smith Secondary Supervisor: Dr. Tomaso Aste March 2015 … Cited by 26 Related articles All 15 versions

Breaking Hash-Tag Detection Algorithm for Social Media (Twitter) P Awasthi – 2015 – … Twitter4J will create a thread and consume the stream. Provided below a reference code from Twitter4J to implement the status listener. 14 Page 23. … The Corpus is sifted down to pertinent sentences and investigated utilizing Natural Language Processing (NLP) procedures. … Related articles All 2 versions

Daily and hourly mood pattern discovery of Turkish twitter users M Celik, AS Dokuz – Global Journal of Computer Science, 2015 – … Also Twitter4j Java library was used for performing queries and getting results from APIs. … Thumbs up?: sentiment classification using machine learning techniques, Proceedings of the ACL-02 conference on Empirical methods in natural language processing – Volume 10, 2002 … Related articles All 2 versions

Disaster Monitoring B Robinson, R Power, M Cameron – Twitter: A Digital Socioscope, 2015 – … particular disaster, other tools are required. These are mostly based on machine learning techniques, natural language processing tools, and bursts of activity identified in the tweet stream. Studies of tweets sent during crises … Related articles All 2 versions

Classifying Arab Names Geographically H Mubarak, K Darwish – ANLP Workshop 2015, 2015 – Page 13. Proceedings of the Second Workshop on Arabic Natural Language Processing, pages 1–8, Beijing, China, July 26-31, 2015. … as shown in Figure 1. We used the Twitter4J2 interface to the Twitter API to collect Arabic tweets during the whole of 2http://twitter4j. org 3 … Related articles All 12 versions

Twitter sentiment classification for measuring public health concerns X Ji, SA Chun, Z Wei, J Geller – Social Network Analysis and Mining, 2015 – Springer … In Natural Language Processing, SVM with a polynomial kernel is more popular (Chang and Lin 2011). … The objective of sentiment quantification is to convert natural language text to a numerical value or a timeline of numerical values to gain insights into the sentiment trends. … Cited by 5 Related articles All 6 versions

Automatic Ontology Generation for Sentiment Analysis from Twitter K Prasad – 2015 – … overall sentiment scores and provides aspect-based sentiment scores for the natural language plain text accompanying it. In this approach we are taken through the points of aspect-based … Page 21. 17 With Twitter4J we can more easily search for Tweets using the Query class. … Related articles

FamilyID: A Hybrid Approach to Identify Family Information from Microblogs J Gopal, S Huang, B Luo – IFIP Annual Conference on Data and …, 2015 – Springer … Using the twitter4j API, we have collected 150 twitter users’ information, including username, screen name, friends (follower and following) list, tweets … The first step in family-related tweet identification is to discover natural language patterns that are highly likely to mention family … Related articles

Studying the correlation between contents published on different social network platforms DE Aktan – 2015 – … ferent formats. 2.1.2 Natural Language Processing and Information Extraction Natural Language Processing is a field of computer science, artificial intelligence and computational linguistics that concentrates on natural language understanding, which … Related articles All 2 versions

Agenda detector: labeling tweets with political policy agenda S Kaul – 2015 – … In order to collect data from Twitter, we developed a standalone Java based application that used the Twitter4J library, and Twitter’s REST API for collecting twitter data. … techniques: Stemming and Data Cleansing. Stemming is a common term used in Natural Language … Related articles All 3 versions

Soccer Events Summarization by Using Sentiment Analysis S Jai-Andaloussi, I El Mourabit… – 2015 International …, 2015 – … 3 400 399 Page 3. … we’ve carried out these treatments with WEKA Framework. To enrich the data we used the NLP Stanford (Natural Language Processing) 6 and the enrichment is performed by the part-of-speech tagging. … Related articles All 3 versions

Semi-supervised approach based on co-occurrence coefficient for named entity recognition on Twitter VC Tran, D Hwang, JJ Jung – Information and Computer …, 2015 – … learning approaches based on training datasets to automatically extract the named entities [6]; iii) Hybrid methods, which combine above methods and several techniques in natural language processing to achieve … 6 7 … Cited by 2 Related articles

A Sentiment Polarity Analyser based on a Lexical-Probabilistic Approach B De Carolis, D Redavid, A Bruno – … At the end of this phase the system returns 1 Twitter4J: Page 5. … sentiment classification using machine learning techniques,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2002, pp. 79–86. … Related articles All 3 versions

Bayesian Changepoint Detection in Textual Data Streams A Partovi, GHI Zukerman – … Because of these features, the performance of standard Natural Language Processing (NLP) tools can be severely degraded on tweets (Ritter et al., 2011). When analysing these data, one approach is to take them as they are, without any modifications. …

Advanced Big Data Management and Analytics for Ubiquitous Sensors LV Subramaniam – Page 1. International Journal of Distributed Sensor Networks Advanced Big Data Management and Analytics for Ubiquitous Sensors Guest Editors: Praveen Rao, Joonho Kwon, Sangjun Lee, and L. Venkata Subramaniam Page 2. Advanced Big Data Management and … Related articles

Bridging social media via distant supervision W Magdy, H Sajjad, T El-Ganainy… – Social Network Analysis …, 2015 – Springer … 4 5 This also captures tweets with shortened links to YouTube. 6 35 Page 4 of 12 Soc. Netw. Anal. Min.(2015)5:35 123 Page 5. ”Just watched video …” which … Cited by 4 Related articles All 7 versions

A survey on opinion mining and sentiment analysis: Tasks, approaches and applications K Ravi, V Ravi – Knowledge-Based Systems, 2015 – Elsevier … This survey covering published literature during 2002–2015, is organized on the basis of sub-tasks to be performed, machine learning and natural language processing techniques used and applications of sentiment analysis. … Cited by 58 Related articles All 3 versions

Social intelligence framework: Extracting and analyzing opinions for social CRM FZ Ennaji, A El Fazziki, M Sadgal… – … (AICCSA), 2015 IEEE/ …, 2015 – … and their opinion, sentiment (SentiGem) toward the target products, after filtering the extracted tweets from Twitter using Twitter4J. … than personal recommendations [4], as the reviews express the subjective attitudes, evaluations, and speculations of people in natural language. …

Mapping Microblogs into A Network of Topics: A case study on Microblogs generated in learning Activities G Abu-Oda – Page 1. Page 2. Islamic University of Gaza Faculty of Information Technology “Mapping Microblogs into A Network of Topics: A case study on Microblogs generated in learning Activities” By Ghadeer Abu-Oda Master Thesis A Master Thesis presented to the Faculty of Information … Related articles

[BOOK] Detecting bullying on Twitter using emotion lexicons JA Patch – 2015 – … Appendix B for more details). We use the search API in order to query a user’s timeline via the Twitter4j Java library. … is higher, positive or negative (Mitchell, 1997). In the natural language processing approach, sentences are broken down into … Related articles All 2 versions

Online diagnosis of diabetes with Twitter data F Ali – 2015 – Page 1. Scholars’ Mine Masters Theses Student Research & Creative Works Spring 2015 Online diagnosis of diabetes with Twitter data Farheen Ali Follow this and additional works at: … Related articles All 4 versions

Discovering Culturomic Trends in Large-Scale Textual Corpora T Lansdall-Welfare – 2015 – … 22 Page 23. 1.1. Thesis aims and research questions Retrieval and Natural Language Processing in order to solve research challenges in a diverse range of elds from the Social Sciences, Journalism, Health and more. Where necessary, new methods for … Related articles All 3 versions

[BOOK] Web-oriented Event Processing R Stühmer – 2015 – Page 1. Roland Stühmer Page 2. Page 3. Roland Stühmer Web-oriented Event Processing Page 4. Page 5. Web-oriented Event Processing by Roland Stühmer Page 6. Genehmigte Dissertation, Karlsruher Institut für Technologie … Related articles All 4 versions

Estimating Creditworthiness using Uncertain Online Data M Bolhuis – 2015 – Page 1. University of Twente Master Thesis Estimating Creditworthiness using Uncertain Online Data Author: Maurice Bolhuis Committee: Dr. ir. Maurice van Keulen Dr. ir. Djoerd Hiemstra MSc. Ruben Bos MSc. Luuk Peters Database Group … Related articles

Designing Social Media Tools for Emergency Response A Chokshi – 2015 – Page 1. UNIVERSITY OF CALGARY Designing Social Media Tools for Emergency Response by Apoorve Chokshi A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE … Related articles All 2 versions