Twitter topic summarization by ranking tweets using social influence and content quality

24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers

Volumn , Issue , 2012, Pages 763-780

  Duan, YaJuan ^a   Chen, ZhuMin ^b   Wei, FuRu ^c   Zhou, Ming ^c   Shum, Heung Yeung ^d  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SHANDONG UNIVERSITY   (China)

^c MICROSOFT RESEARCH ASIA   (China)

^d MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT QUALITIES; DOCUMENT SUMMARIZATION; MUTUAL REINFORCEMENT; SOCIAL INFLUENCE; SUB TOPICS; TIME LINE;

COMPUTATIONAL LINGUISTICS; REINFORCEMENT; SOCIAL NETWORKING (ONLINE);

ECONOMIC AND SOCIAL EFFECTS;

EID: 84876788491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Ani Nenkova, K. M. (2011). Automatic Summarization, pages 103-233.
2. Beaux Sharifi, M.-A. H. and Kalita, J. (2010). Automatic summarization of twitter topics. In National Workshop on Design and Analysis of Algorithm.
3. Brin, S. and Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. In Proceedings of the seventh international conference on World Wide Web 7, WWW7, pages 107-117, Amsterdam, The Netherlands, The Netherlands. Elsevier Science Publishers B. V.
4. Carbonell, J. and Goldstein, J. (1998). The use of mmr, diversity-based reranking for reordering documents and producing summaries. In In Research and Development in Information Retrieval, pages 335-336.
5. Chakrabarti, D. and Punera, K. (2011). Event summarization using tweets. In ICWSM'11, pages -1-1.
6. Erkan, G. and Radev, D. R. (2004). Lexrank: graph-based lexical centrality as salience in text summarization. J. Artif. Int. Res., 22(1):457-479.
7. Frederking, K. D. R. R. S. B. L. A. G. R. (2011). Topical clustering of tweets. In Proceedings of the ACM SIGIR 3rd Workshop on Social Web Search and Mining.
8. Fuentes, M., Alfonseca, E., and Rodríguez, H. (2007). Support vector machines for queryfocused summarization trained and evaluated on pyramid data. In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL '07, pages 57-60, Stroudsburg, PA, USA. Association for Computational Linguistics.
9. Fung, G. P. C., Yu, J. X., Yu, P. S., and Lu, H. (2005). Parameter free bursty events detection in text streams. In Proceedings of the 31st international conference on Very large data bases, VLDB '05, pages 181-192. VLDB Endowment.
10. Harabagiu, S. M. and Hickl, A. (2011). Relevance modeling for microblog summarization. In Adamic, L. A., Baeza-Yates, R. A., and Counts, S., editors, ICWSM. The AAAI Press.
11. Inouye, D. and Kalita, J. K. (2011). Comparing twitter summarization algorithms for multiple post summaries. In SocialCom/PASSAT, pages 298-306. IEEE.
12. Lin, C.-Y. and Hovy, E. (2003). Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, NAACL '03, pages 71-78, Stroudsburg, PA, USA. Association for Computational Linguistics.
13. Liu, F., Liu, Y., and Weng, F. (2011). Why is "sxsw" trending?: exploring multiple text sources for twitter topic summarization. In Proceedings of the Workshop on Languages in Social Media, LSM '11, pages 66-75, Stroudsburg, PA, USA. Association for Computational Linguistics.
14. Lloret, E. and Palomar, M. (2012). Text summarisation in progress: A literature review. Artif. Intell. Rev., 37(1):1-41.
15. Long, R., Wang, H., Chen, Y., Jin, O., and Yu, Y. (2011). Towards effective event detection, tracking and summarization on microblog data. In Proceedings of the 12th international conference on Web-age information management, WAIM'11, pages 652-663, Berlin, Heidelberg. Springer-Verlag.
16. Mihalcea, R. (2004). Graph-based ranking algorithms for sentence extraction, applied to text summarization. In Proceedings of the ACL 2004 on Interactive poster and demonstration sessions, ACLdemo '04, Stroudsburg, PA, USA. Association for Computational Linguistics.
17. Nichols, J., Mahmud, J., and Drews, C. (2012). Summarizing sporting events using twitter. In Proceedings of the 2012 ACM international conference on Intelligent User Interfaces, IUI '12, pages 189-198, New York, NY, USA. ACM.
18. O'Connor, B., Krieger, M., and Ahn, D. (2010). Tweetmotif: Exploratory search and topic summarization for twitter. In ICWSM'10, pages -1-1.
19. Parthasarathy, X. Y. A. G. Y. R. S. (2012). A framework for summarizing and analyzing twitter feeds. In In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining, SIGKDD.
20. Sharifi, B., Hutton, M.-A., and Kalita, J. (2010a). Summarizing microblogs automatically. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT '10, pages 685-688, Stroudsburg, PA, USA. Association for Computational Linguistics.
21. Sharifi, B., Hutton, M.-A., and Kalita, J. K. (2010b). Experiments in microblog summarization. In Proceedings of the 2010 IEEE Second International Conference on Social Computing, SOCIALCOM '10, pages 49-56, Washington, DC, USA. IEEE Computer Society.
22. Sharifi, B. P. (2010). Automatic microblog classification and summarization. In Master's thesis.
23. Shiells, K., Alonso, O., and Lee, H. J. (2010). Generating document summaries from user annotations. In Proceedings of the third workshop on Exploiting semantic annotations in information retrieval, ESAIR '10, pages 25-26, New York, NY, USA. ACM.
24. Takamura, H., Yokono, H., and Okumura, M. (2011). Summarizing a document stream. In Proceedings of the 33rd European conference on Advances in information retrieval, ECIR'11, pages 177-188, Berlin, Heidelberg. Springer-Verlag.
25. Wan, X., Yang, J., and Xiao, J. (2007). Towards an iterative reinforcement approach for simultaneous document summarization and keyword extraction. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 552-559, Prague, Czech Republic. Association for Computational Linguistics.
26. Wei, F., Li, W., Lu, Q., and He, Y. (2008). Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '08, pages 283-290, New York, NY, USA. ACM.
27. Wei, F., Li, W., Lu, Q., and He, Y. (2009). Applying two-level reinforcement ranking in queryoriented multidocument summarization. J. Am. Soc. Inf. Sci. Technol., 60(10):2119-2131.
28. Wong, K.-F., Wu, M., and Li, W. (2008). Extractive summarization using supervised and semi-supervised learning. In Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1, COLING '08, pages 985-992, Stroudsburg, PA, USA. Association for Computational Linguistics.
29. Zubiaga, A., Spina, D., Amigó, E., and Gonzalo, J. (2012). Towards real-time summarization of scheduled events from twitter streams. In Proceedings of the 23rd ACM conference on Hypertext and social media, HT '12, pages 319-320, New York, NY, USA. ACM.