TDParse: Multi-target-specific sentiment recognition on Twitter

15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference

Volumn 1, Issue , 2017, Pages 483-493

  Wang, Bo ^a   Liakata, Maria ^a   Zubiaga, Arkaitz ^a   Procter, Rob ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTATIONAL LINGUISTICS;

LEARNING MODELS; MULTI-TARGETS; RECOGNITION METHODS; STATE-OF-THE-ART PERFORMANCE; SYNTACTIC DEPENDENCIES;

DEEP LEARNING;

EID: 85021678260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/e17-1046     Document Type: Conference Paper

References (28)

1. Steven Bird. 2006. Nltk: The natural language toolkit. In Proceedings of the COLING/ACL on Interactive presentation sessions, COLING-ACL '06, pages 69-72, Stroudsburg, PA, USA. Association for Computational Linguistics.
2. William Boag, Peter Potash, and Anna Rumshisky. 2015. Twitterhawk: A feature bucket based approach to sentiment analysis. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 640-646, Denver, Colorado, June. Association for Computational Linguistics.
3. Pete Burnap, Rachel Gibson, Luke Sloan, Rosalynd Southern, and Matthew Williams. 2016. 140 characters to victory?: Using twitter to predict the uk 2015 general election. Electoral Studies, 41:230- 233.
4. Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, and Ke Xu. 2014. Adaptive recursive neural network for target-dependent twitter sentiment classification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 49-54, Baltimore, Maryland, June. Association for Computational Linguistics.
5. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang- Rui Wang, and Chih-Jen Lin. 2008. Liblinear: A library for large linear classification. Journal of machine learning research, 9(Aug):1871-1874.
6. Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05), pages 363-370, Ann Arbor, Michigan, June. Association for Computational Linguistics.
7. Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, and Tiejun Zhao. 2011. Target-dependent twitter sentiment classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 151-160, Portland, Oregon, USA, June. Association for Computational Linguistics.
8. Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, and Noah A. Smith. 2014. A dependency parser for tweets. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1001-1012, Doha, Qatar, October. Association for Computational Linguistics.
9. J Richard Landis and Gary G. Koch. 1977. The measurement of observer agreement for categorical data. Biometrics, pages 159-174.
10. Jiwei Li, Thang Luong, Dan Jurafsky, and Eduard Hovy. 2015. When are tree structures necessary for deep learning of representations? In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2304-2314, Lisbon, Portugal, September. Association for Computational Linguistics.
11. Rada Mihalcea. 2004. Graph-based ranking algorithms for sentence extraction, applied to text summarization. In The Companion Volume to the Proceedings of 42st Annual Meeting of the Association for Computational Linguistics, pages 170-173, Barcelona, Spain, July. Association for Computational Linguistics.
12. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. CoRR, abs/1301.3781.
13. Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, and Veselin Stoyanov. 2016. Semeval- 2016 task 4: Sentiment analysis in twitter. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 1-18, San Diego, California, June. Association for Computational Linguistics.
14. Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta, may. European Language Resources Association (ELRA).
15. Shubham Pateria and Prafulla Choubey. 2016. AKTSKI at semeval-2016 task 5: Aspect based sentiment analysis for consumer reviews. In Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016, pages 318-324.
16. Nataliia Plotnikova, Micha Kohl, Kevin Volkert, Stefan Evert, Andreas Lerner, Natalie Dykes, and Heiko Ermer. 2015. Klueless: Polarity classification and association. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 619-625, Denver, Colorado, June. Association for Computational Linguistics.
17. Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015. Semeval-2015 task 12: Aspect based sentiment analysis. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 486-495, Denver, Colorado, June. Association for Computational Linguistics.
18. Alan Ritter, Sam Clark, Mausam, and Oren Etzioni. 2011. Named entity recognition in tweets: An experimental study. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '11, pages 1524-1534, Stroudsburg, PA, USA. Association for Computational Linguistics.
19. Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif Mohammad, Alan Ritter, and Veselin Stoyanov. 2015. Semeval-2015 task 10: Sentiment analysis in twitter. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 451-463, Denver, Colorado, June. Association for Computational Linguistics.
20. Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014. Learning sentimentspecific word embedding for twitter sentiment classification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1555-1565, Baltimore, Maryland, June. Association for Computational Linguistics.
21. Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2016a. Effective lstms for target-dependent sentiment classification. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 3298- 3307, Osaka, Japan, December. The COLING 2016 Organizing Committee.
22. Duyu Tang, Bing Qin, and Ting Liu. 2016b. Aspect level sentiment classification with deep memory network. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 214-224, Austin, Texas, November. Association for Computational Linguistics.
23. Richard Townsend, Adam Tsakalidis, Yiwei Zhou, Bo Wang, Maria Liakata, Arkaitz Zubiaga, Alexandra Cristea, and Rob Procter. 2015. Warwickdcs: From phrase-based to target-specific sentiment recognition. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 657-663, Denver, Colorado, June. Association for Computational Linguistics.
24. Andranik Tumasjan, Timm Oliver Sprenger, Philipp G. Sandner, and Isabell M. Welpe. May 2010. Predicting elections with twitter: What 140 characters reveal about political sentiment. ICWSM, 10:178- 185.
25. Sául Vargas, Richard McCreadie, Craig Macdonald, and Iadh Ounis. 2016. Comparing overall and targeted sentiments in social media during crises. In Proceedings of the Tenth International Conference on Web and Social Media, Cologne, Germany, May 17-20, 2016., pages 695-698.
26. Duy-Tin Vo and Yue Zhang. 2015. Target-dependent twitter sentiment classification with rich automatic features. In Proceedings of the 24th International Conference on Artificial Intelligence, IJCAI'15, pages 1347-1353. AAAI Press.
27. Hao Wang, Dogan Can, Abe Kazemzadeh, François Bar, and Shrikanth Narayanan. 2012. A system for real-time twitter sentiment analysis of 2012 u.s. presidential election cycle. In Proceedings of the ACL 2012 System Demonstrations, pages 115-120, Jeju Island, Korea, July. Association for Computational Linguistics.
28. Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2016. Gated neural networks for targeted sentiment analysis. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, pages 3087-3093. AAAI Press.