Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! using word lengthening to detect sentiment in microblogs

EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2011, Pages 562-570

  Brody, Samuel ^a   Diakopoulos, Nicholas ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC METHOD; DOMAIN SPECIFIC; MESSAGING NETWORK; SOCIAL NETWORKS;

COMPUTATIONAL LINGUISTICS; SOCIAL NETWORKING (ONLINE);

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053220404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Barbosa, Luciano and Junlan Feng. 2010. Robust sentiment detection on twitter from biased and noisy data. In Chu-Ren Huang and Dan Jurafsky, editors, COLING (Posters). Chinese Information Processing Society of China, pages 36-44.
2. Bermingham, Adam and Alan F. Smeaton. 2010. Classifying sentiment in microblogs: is brevity an advantage? In Proceedings of the 19th ACM international conference on Information and knowledge management. ACM, New York, NY, USA, CIKM '10, pages 1833-1836.
3. Bolinger, Dwight. 1965. Forms of English: Accent, Morpheme, Order. Harvard University Press, Cambridge, Massachusetts, USA.
4. Bollen, J., H. Mao, and X.-J. Zeng. 2010. Twitter mood predicts the stock market. ArXiv e-prints.
5. Bollen, Johan, Bruno Gonalves, Guangchen Ruan, and Huina Mao. 2011. Happiness is assortative in online social networks. Artificial Life 0(0):1-15.
6. Brants, Thorsten and Alex Franz. 2006. Google web 1T 5-gram corpus, version 1. Linguistic Data Consortium, Catalog Number LDC2006T13.
7. Brody, Samuel and Noemie Elhadad. 2010. An un-supervised aspect-sentiment model for online reviews. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2010). ACL, Los Angeles, CA, pages 804-812.
8. Calhoun, Sasha. 2010. The centrality of metrical structure in signaling information structure: A probabilistic perspective. Language 86:1-42.
9. Diakopoulos, Nicholas A. and David A. Shamma. 2010. Characterizing debate performance via aggregated twitter sentiment. In Proceedings of the 28th international conference on Human factors in computing systems. ACM, New York, NY, USA, CHI '10, pages 1195-1198.
10. Grinter, Rebecca and Margery Eldridge. 2003. Wan2tlk?: everyday text messaging. In Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, New York, NY, USA, CHI '03, pages 441-448.
11. Kivran-Swaine, Funda and Mor Naaman. 2011. Network properties and social sharing of emotions in social awareness streams. In Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work (CSCW 2011). Hangzhou, China.
12. McNair, D. M., M. Lorr, and L. F. Droppleman. 1971. Profile of Mood States (POMS). Educational and Industrial Testing Service.
13. O'Connor, Brendan, Ramnath Balasubramanyan, Bryan R. Routledge, and Noah A. Smith. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the International AAAI Conference on Weblogs and Social Media.
14. Pak, Alexander and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10). ELRA, Valletta, Malta.
15. Velikovich, Leonid, Sasha Blair-Goldensohn, Kerry Hannan, and Ryan McDonald. 2010. The viability of web-derived polarity lexicons. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. ACL, Stroudsburg, PA, USA, HLT '10, pages 777-785.
16. Wilson, Theresa, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phraselevel sentiment analysis. In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing. ACL, Stroudsburg, PA, USA, HLT '05, pages 347-354.
17. Zhu, X. and Z. Ghahramani. 2002. Learning from labeled and unlabeled data with label propagation. Technical report, CMU-CALD-02.