Sentiment analysis on tweets for social events

Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2013

Volumn , Issue , 2013, Pages 557-562

  Zhou, Xujuan ^a   Tao, Xiaohui ^b   Yong, Jianming ^b   Yang, Zhenyu ^c  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^c AALBORG UNIVERSITY   (Denmark)

Author keywords

Sentiment analysis; Social network; Text analysis; Tweets

Indexed keywords

OPINION MINING; SENTIMENT ANALYSIS; SOCIAL EVENTS; SOCIAL STUDY; TEXT ANALYSIS; TWEETS;

INTERACTIVE COMPUTER SYSTEMS; SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 84884146454     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSCWD.2013.6581022     Document Type: Conference Paper

References (20)

1. M. M. Bradley and P. J. Lang. Affective norms for english words (anew): Stimuli, instruction manual, and affective ratings. Technical report, Center for Research in Psychophysiology, University of Florida, Gainesville, Florida, 1999.
2. S. Brody and N. Elhadad. An unsupervised aspect-sentiment model for online reviews. In HLT '10: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 804-812, Morristown, NJ, USA, 2010. Association for Computational Linguistics.
3. K. Dave, S. Lawrence, and D. Pennock. Opinion extraction and semantic classification of product reviews. In Proceedings of the 12th International World Wide Web Conference (WWW), pages 519-528, 2003.
4. E. Schonfeld. Mining the thought stream. TechCrunch Weblog Article, heep://techcrunch. com/2009/02/15/mining-the-thought-stream/, 02 2009.
5. V. Hatzivassiloglou and J. M. Wiebe. Effects of adjective orientation and gradability on sentence subjectivity. pages 299-305, 2000.
6. B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury. Twitter power: Tweets as electronic word of mouth. J. Am. Soc. Inf. Sci., 60(11):2169-2188, 2009.
7. J. Yarow. Twitterfinallyrevealsallitssecretstats. BusinessInsiderWeblog Article, http://www. businessinsider. com/twitter-stats-2010-4/, 04 2010.
8. J. Kamps, M. Marx, R. Mokken, and M. de Rijke. Using WordNet to measure semantic orientation of adjectives. In Proceedings of the 4th International Conference on Language Resources and Evaluation, pages 1115-1118, 2004.
9. B. Liu. Opinionmining. InvitedcontributiontoEncyclopediaofDatabase Systems, 2008.
10. B. Liu. Handbook of Natural Language Processing, chapter Sentiment Analysis and Subjectivity. Second edition edition, 2010.
11. S. Milstein, A. Chowdhury, G. Hochmuth, B. Lorica, and R. Magoulas. Twitter and the micro-messaging revolution: Communication, connections, and immediacy140 characters at a time. An OReilly Radar Report. 54 pages, November 2008.
12. B. Pang and L. Lee. Thumbs up? sentiment classification using machine learning techniques. In In Proceedings of EMNLP, pages 79-86, 2002.
13. B. Pang and L. Lee. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2):1-135, Jan. 2008.
14. A.-M. Popescu and O. Etzioni. Extracting product features and opinions from reviews. In HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pages 339-346, Morristown, NJ, USA, 2005. Association for Computational Linguistics.
15. P. D. Turney and M. L. Littman. Unsupervised learning of semantic orientation from a hundred-billion-word corpus. Dec 2002.
16. J. Wiebe. Learning subjective adjectives from corpora. In Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence, pages735-740. AAAI Press, 2000.
17. J. Wiebe and E. Riloff. Creating subjective and objective sentence classifiers from unannotated texts. In In CICLing2005, pages 486-4972005.
18. D. T. Wijaya and S. Bressan. A random walk on the red carpet: rating movies with user reviews and pagerank. In CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, pages 951-960. ACM, 2008.
19. T. Wilson, J. Wiebe, and P. Hoffmann. Recognizing contextual polarity in phrase-level sentiment analysis. In HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pages 347-354, Morristown, NJ, USA, 2005. Association for Computational Linguistics.
20. W. Zhang, C. Yu, and W. Meng. Opinion retrieval from blogs. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, CIKM '07, pages 831-840. ACM, 2007.