Harnessing twitter 'big data' for automatic emotion identification

Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012

Volumn , Issue , 2012, Pages 587-592

  Wang, Wenbo ^a   Chen, Lu ^a   Thirunarayan, Krishnaprasad ^a   Sheth, Amit P ^a  

^a WRIGHT STATE UNIVERSITY   (United States)

Author keywords

Emotion Analysis; Emotion Identification; Emotion Intelligence; Twitter

Indexed keywords

BIG DATUM; EMOTION ANALYSIS; EMOTION IDENTIFICATIONS; EMOTION INTELLIGENCE; FEATURE COMBINATION; SMALL TRAINING; TRAINING DATA; TWITTER; USER-GENERATED CONTENT;

BEHAVIORAL RESEARCH; LEARNING ALGORITHMS;

SOCIAL NETWORKING (ONLINE);

EID: 84873692278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SocialCom-PASSAT.2012.119     Document Type: Conference Paper

References (19)

1. C. Alm, D. Roth, and R. Sproat, "Emotions from text: machine learning for text-based emotion prediction," in Proceedings of HLT and EMNLP. ACL, 2005, pp. 579-586
2. S. Aman and S. Szpakowicz, "Using roget's thesaurus for fine-grained emotion recognition," in Proceedings of IJCNLP, 2008, pp. 296-302
3. P. Chesley, B. Vincent, L. Xu, and R. K. Srihari, "Using verbs and adjectives to automatically classify blog sentiment," in AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, 2006, pp. 27-29
4. M. D. Choudhury, S. Counts, and M. Gamon, "Not all moods are created equal! exploring human emotional states in social media," in Proceedings of ICWSM, 2012
5. R. Fan, K. Chang, C. Hsieh, X. Wang, and C. Lin, "Liblinear: A library for large linear classification," The Journal of Machine Learning Research, vol. 9, pp. 1871-1874, 2008
6. K. Gimpel, N. Schneider, B. O'Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, and N. A. Smith, "Part-ofspeech tagging for twitter: annotation, features, and experiments," in Proceedings of HLT:short papers, ser. HLT '11. Stroudsburg, PA, USA: ACL, 2011, pp. 42-47
7. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. Witten, "The weka data mining software: an update," ACM SIGKDD Explorations Newsletter, vol. 11, no. 1, pp. 10-18, 2009
8. G. Mishne, "Experiments with mood classification in blog posts," in Proceedings of ACM SIGIR 2005 Workshop on Stylistic Analysis of Text for Information Access
9. S. Mohammad, "#emotional tweets," in Proceedings of the Sixth International Workshop on Semantic Evaluation. ACL, 7-8 June 2012, pp. 246-255
10. A. Neviarouskaya, H. Prendinger, and M. Ishizuka, "Affect analysis model: Novel rule-based approach to affect sensing from text," Natural Language Engineering, vol. 17, no. 1, pp. 95-135, 2011
11. B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up?: sentiment classification using machine learning techniques," in Proceedings of EMNLP. ACL, 2002, pp. 79-86
12. P. Shaver, J. Schwartz, D. Kirson, and C. O'connor, "Emotion knowledge: Further exploration of a prototype approach." Journal of personality and social psychology, vol. 52, no. 6, pp. 1061-1086, 1987
13. C. Strapparava and R. Mihalcea, "Learning to identify emotions in text," in Proceedings of the 2008 ACM symposium on Applied computing. ACM, 2008, pp. 1556-1560
14. C. Strapparava and A. Valitutti, "Wordnet-affect: an affective extension of wordnet," in Proceedings of LREC, vol. 4. Citeseer, 2004, pp. 1083-1086
15. C. Strapparava and R. Mihalcea, "Semeval-2007 task 14: affective text," in Proceedings of the 4th International Workshop on Semantic Evaluations, ser. SemEval '07, 2007, pp. 70-74
16. R. Tokuhisa, K. Inui, and Y. Matsumoto, "Emotion classification using massive examples extracted from the web," in Proceedings of COLING. ACL, 2008, pp. 881-888
17. T. Wilson, J. Wiebe, and P. Hoffmann, "Recognizing contextual polarity in phrase-level sentiment analysis," in Proceedings of HLT and EMNLP. ACL, 2005, pp. 347-354
18. I. Witten, E. Frank, and M. Hall, Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2011
19. C. Yang, K. Lin, and H. Chen, "Emotion classification using web blog corpora," in IEEE/WIC/ACM International Conference on Web Intelligence. IEEE, 2007, pp. 275-278.