Building large-scale twitter-specific sentiment lexicon : A representation learning approach

COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Volumn , Issue , 2014, Pages 172-182

  Tang, Duyu ^a   Wei, Furu ^b   Qin, Bing ^a   Zhou, Ming ^b   Liu, Ting ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTATIONAL LINGUISTICS; LINGUISTICS; SOCIAL NETWORKING (ONLINE);

BENCHMARK DATASETS; FEATURE REPRESENTATION; LEARNING APPROACH; LOSS FUNCTIONS; MANUAL ANNOTATION; NEURAL ARCHITECTURES; SENTIMENT CLASSIFICATION; SENTIMENT LEXICONS;

CLASSIFICATION (OF INFORMATION);

EID: 84959882687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (44)

1. Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010. Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In LREC, volume 10, pages 2200-2204.
2. Yoshua Bengio, Rejean Ducharme, Pascal Vincent, and Christian Janvin. 2003. A neural probabilistic language model. Journal of Machine Learning Research, 3:1137-1155.
3. Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE Trans. Pattern Analysis and Machine Intelligence.
4. David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. The Journal of machine Learning research, 3:993-1022.
5. Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, and Amit P Sheth. 2012. Extracting diverse sentiment expressions with target-dependent polarity from twitter. In ICWSM.
6. Ronan Collobert, Jason Weston, Ĺeon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011.Natural language processing (almost) from scratch. Journal of Machine Learning Research, 12:2493-2537.
7. George E Dahl, Ryan P Adams, and Hugo Larochelle. 2012. Training restricted boltzmann machines on word observations. ICML.
8. Sanjiv R Das and Mike Y Chen. 2007. Yahoo! for amazon: Sentiment extraction from small talk on the web. Management Science, 53(9):1375-1388.
9. John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, pages 2121-2159.
10. Andrea Esuli and Fabrizio Sebastiani. 2005. Determining the semantic orientation of terms through gloss classification. In Proceedings of the 14th ACM international conference on Information and knowledge management, pages 617-624. ACM.
11. Andrea Esuli and Fabrizio Sebastiani. 2007. Pageranking wordnet synsets: An application to opinion mining. In ACL, volume 7, pages 442-431.
12. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. 2008. Liblinear: A library for large linear classification. The Journal of Machine Learning Research, 9:1871-1874.
13. Ronen Feldman. 2013. Techniques and applications for sentiment analysis. Communications of the ACM, 56(4):82-89.
14. Ming Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 168-177.
15. Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. 2013. Unsupervised sentiment analysis with emotional signals. In Proceedings of the International World Wide Web Conference, pages 607-618.
16. Eric H Huang, Richard Socher, Christopher D Manning, and Andrew Y Ng. 2012. Improving word representations via global context and multiple word prototypes. In ACL, pages 873-882. ACL.
17. Soo-Min Kim and Eduard Hovy. 2004. Determining the sentiment of opinions. In Proceedings of the 20th international conference on Computational Linguistics, page 1367. Association for Computational Linguistics.
18. Igor Labutov and Hod Lipson. 2013. Re-embedding words. In Annual Meeting of the Association for Computational Linguistics.
19. Remi Lebret, Jöel Legrand, and Ronan Collobert. 2013. Is deep learning really necessary for word embeddings? NIPS workshop.
20. Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, and Xiaoyan Zhu. 2012. Cross-domain co-extraction of sentiment and topic lexicons. In Proceedings of the 50th ACL, pages 410-419. ACL, July.
21. Dekang Lin. 1994. Principar: An efficient, broad-coverage, principle-based parser. In Proceedings of the 15th conference on COLING, pages 482-488. Association for Computational Linguistics.
22. Bing Liu. 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1):1-167.
23. Andrew L Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011.Learning word vectors for sentiment analysis. In Proceedings of the Annual Meeting of the Association for Computational Linguistics.
24. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a. Efficient estimation of word representations in vector space. ICLR.
25. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013b. Distributed representations of words and phrases and their compositionality. The Conference on Neural Information Processing Systems.
26. Saif M Mohammad and Peter D Turney. 2012. Crowdsourcing a word-emotion association lexicon. Computational Intelligence.
27. Saif M Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013. Nrc-canada: Building the state-of-the-art in sentiment analysis of tweets. Proceedings of the International Workshop on Semantic Evaluation.
28. Frederic Morin and Yoshua Bengio. 2005. Hierarchical probabilistic neural network language model. In Proceedings of the international workshop on artificial intelligence and statistics, pages 246-252.
29. Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, and Theresa Wilson. 2013. Semeval-2013 task 2: Sentiment analysis in twitter. In Proceedings of the International Workshop on Semantic Evaluation, volume 13.
30. Bo Pang and Lillian Lee. 2008. Opinion mining and sentiment analysis. Foundations and trends in information retrieval, 2(1-2):1-135.
31. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: Sentiment classification using machine learning techniques. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 79-86.
32. Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen. 2009. Expanding domain sentiment lexicon through double propagation. In IJCAI, volume 9, pages 1199-1204.
33. Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen. 2011. Opinion word expansion and target extraction through double propagation. Computational linguistics, 37(1):9-27.
34. 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. Association for Computational Linguistics.
35. Richard Socher, J. Pennington, E.H. Huang, A.Y. Ng, and C.D. Manning. 2011. Semi-supervised recursive autoencoders for predicting sentiment distributions. In Conference on Empirical Methods in Natural Language Processing, pages 151-161.
36. Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In Conference on Empirical Methods in Natural Language Processing, pages 1631-1642.
37. Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, and Xiaolong Wang. 2014. Radical-enhanced Chinese character embedding. arXiv preprint arXiv:1404.4714.
38. Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014. Learning sentiment-specific word embedding for twitter sentiment classification. In Procedding of the 52th Annual Meeting of Association for Computational Linguistics.
39. Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: A simple and general method for semi-supervised learning. Annual Meeting of the Association for Computational Linguistics.
40. Peter D Turney. 2002. Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews. In Proceedings of Annual Meeting of the Association for Computational Linguistics, pages 417-424.
41. Leonid Velikovich, Sasha Blair-Goldensohn, Kerry Hannan, and Ryan McDonald. 2010. The viability of webderived polarity lexicons. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 777-785. Association for Computational Linguistics.
42. Janyce Wiebe. 2000. Learning subjective adjectives from corpora. In AAAI/IAAI, pages 735-740.
43. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 347-354.
44. Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, and Jun Zhao. 2013. Mining opinion words and opinion targets in a two-stage framework. In Proceedings of the 51st ACL, pages 1764-1773. ACL.