INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction

SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings

Volumn , Issue , 2015, Pages 613-618

  Amir, Silvio ^a   Astudillo, Ramon F ^a   Ling, Wang ^a   Martins, Bruno ^a   Silva, Mário ^a   Trancoso, Isabel ^a  

^a INESC ID   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS; SEMANTICS; SENTIMENT ANALYSIS;

EMBEDDINGS; LARGE-SCALES; REGRESSION MODELLING; SENTIMENT ANALYSIS; SENTIMENT LEXICONS; SUBTASK;

SOCIAL NETWORKING (ONLINE);

EID: 85122005087     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. James Bergstra, Daniel Yamins, and David Cox. 2013. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. In Proceedings of the 30th International Conference on Machine Learning, pages 115-123.
2. Johan Bollen and Huina Mao. 2011. Twitter mood as a stock market predictor. Computer, 44:91-94.
3. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. The Journal of Machine Learning Research, 12:2493-2537.
4. Scott C. Deerwester, Susan T Dumais, Thomas K. Landauer, George W. Furnas, and Richard A. Harshman. 1990. Indexing by latent semantic analysis. JAsIs, 41:391-407.
5. Peter Sheridan Dodds, Kameron Decker Harris, Isabel M Kloumann, Catherine A Bliss, and Christopher M Danforth. 2011. Temporal patterns of happiness and information in a global social network: Hedonometrics and twitter. PloS one, 6(12):e26752.
6. Yoav Goldberg and Omer Levy. 2014. word2vec explained: deriving mikolov et al.'s negative-sampling word-embedding method. arXiv preprint arXiv:1402.3722.
7. Vasileios Hatzivassiloglou and Kathleen R McKeown. 1997. Predicting the semantic orientation of adjectives. In Proceedings of the 8th Conference of the European Chapter of the Association for Computational Linguistics, pages 174-181.
8. Jaap Kamps, Maarten Marx, Robert J. Mokken, and Maarten de Rijke. 2004. Using wordnet to measure semantic orientations of adjectives. In Proceedings of 4th International Conference on Language Resources and Evaluation, Vol IV, pages 1115-1118.
9. Maurice G Kendall. 1938. A new measure of rank correlation. Biometrika, pages 81-93.
10. Soo-Min Kim and Eduard Hovy. 2006. Identifying and analyzing judgment opinions. In Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pages 200-207.
11. Svetlana Kiritchenko, Xiaodan Zhu, and Saif M Mohammad. 2014. Sentiment analysis of short informal texts. Journal of Artificial Intelligence Research, pages 723-762.
12. Dekang Lin. 1998. An information-theoretic definition of similarity. In Proceedings of the 15th International Conference on Machine Learning, volume 98, pages 296-304.
13. Wang Ling, Chris Dyer, Alan Black, and Isabel Trancoso. 2015. Two/too simple adaptations of word2vec for syntax problems. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
14. Bing Liu. 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1):1-167.
15. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a. Efficient estimation of word representations in vector space. In Workshop at the International Conference on Learning Representations.
16. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013b. Distributed representations of words and phrases and their compositionality. In Proceedings of the 27th Annual Conference on Neural Information Processing Systems.
17. Lewis Mitchell, Kameron Decker Harris, Morgan R Frank, Peter Sheridan Dodds, and Christopher M Danforth. 2013. The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. PLoS ONE, 8(5).
18. Brendan O'Connor, 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 4th International AAAI Conference on Weblogs and Social Media.
19. Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, and Noah A Smith. 2013. Improved part-of-speech tagging for online conversational text with word clusters. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 380-390.
20. Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. Proceedings of the 2014 Empiricial Methods in Natural Language Processing, 12.
21. Delip Rao and Deepak Ravichandran. 2009. Semi-supervised polarity lexicon induction. In Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, pages 675-682.
22. Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, and Ting Liu. 2014. Building large-scale twitter-specific sentiment lexicon: A representation learning approach. In Proceedings of the 25th International Conference on Computational Linguistics, pages 172-182.
23. Peter D Turney and Michael L Littman. 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 21(4):315-346.