UWB at SemEval-2016 task 5: Aspect based sentiment analysis

SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

Volumn , Issue , 2016, Pages 342-349

  Hercigt, Tomáš ^a   Brychcín, Tomáš ^a   Svobodat, Lukáš ^a   Konkolt, Michal ^a  

^a UNIVERSITY OF WEST BOHEMIA   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS; SENTIMENT ANALYSIS;

CONDITIONAL RANDOM FIELD; CONSTRAINED SYSTEMS; OPINION TARGETS; STATE OF THE ART; SYSTEM USE; UNCONSTRAINED SYSTEMS;

RANDOM PROCESSES;

EID: 85035798667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1055     Document Type: Conference Paper

References (37)

1. Daniel M Bikel, Scott Miller, Richard Schwartz, and Ralph Weischedel. 1997. Nymble: a highperformance learning name-finder. In Proceedings of the fifth conference on Applied natural language processing, pages 194-201. Association for Computational Linguistics.
2. D. M. Blei, A. Y. Ng, M. I. Jordan, and J. Lafferty. 2003. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:2003.
3. John Blitzer, Mark Dredze, Fernando Pereira, et al. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, volume 7, pages 440-447.
4. Caroline Brun, Diana Nicoleta Popa, and Claude Roux. 2014. XRCE: Hybrid classification for aspect-based sentiment analysis. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 838-842, Dublin, Ireland, August. Association for Computational Linguistics.
5. Tomáš Brychcín, Michal Konkol, and Josef Steinberger. 2014. UWB: Machine learning approach to aspectbased sentiment analysis. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 817-822. Association for Computational Linguistics.
6. Giuseppe Castellucci, Simone Filice, Danilo Croce, and Roberto Basili. 2014. UNITOR: Aspect based sentiment analysis with structured learning. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 761-767, Dublin, Ireland, August. Association for Computational Linguistics.
7. Sabrina Cerini, Valentina Compagnoni, Alice Demontis, Maicol Formentelli, and G Gandini. 2007. Micro-WNOp: A gold standard for the evaluation of automatically compiled lexical resources for opinion mining. Language resources and linguistic theory: Typology, second language acquisition, English linguistics, pages 200-210.
8. Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, and Tony Robinson. 2013. One billion word benchmark for measuring progress in statistical language modeling. arXiv preprint arXiv:1312.3005.
9. Fermín L Cruz, José A Troyano, Beatriz Pontes, and F. Javier Ortega. 2014. Building layered, multilingual sentiment lexicons at synset and lemma levels. Expert Systems with Applications, 41(13):5984-5994.
10. David Guthrie, Ben Allison, Wei Liu, Louise Guthrie, and Yorick Wilks. 2006. A closer look at skip-gram modelling. In Proceedings of the 5th international Conference on Language Resources and Evaluation (LREC-2006), pages 1-4.
11. Ivan Habernal, Tomáš Ptáček, and Josef Steinberger. 2014. Supervised sentiment analysis in Czech social media. Information Processing & Management, 50(5):693-707.
12. G. Karypis. 2003. CLUTO-A clustering toolkit.
13. Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, and Saif Mohammad. 2014. NRC-Canada-2014: Detecting aspects and sentiment in customer reviews. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 437-442, Dublin, Ireland, August. Association for Computational Linguistics.
14. Michal Konkol. 2014. Brainy: A machine learning library. In Leszek Rutkowski, Marcin Korytkowski, Rafa Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, and Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing, volume 8468 of Lecture Notes in Computer Science. Springer-Verlag, Berlin.
15. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of International Conference on Machine Learning.
16. Quoc V. Le and Tomas Mikolov. 2014. Distributed representations of sentences and documents. In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, pages 1188-1196.
17. Bing Liu, Minqing Hu, and Junsheng Cheng. 2005. Opinion observer: analyzing and comparing opinions on the web. In Proceedings of the 14th international conference on World Wide Web, pages 342-351. ACM.
18. Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. The Stanford CoreNLP natural language processing toolkit. In Association for Computational Linguistics (ACL) System Demonstrations, pages 55-60.
19. Andrew Kachites McCallum. 2002. MALLET: A machine learning for language toolkit.
20. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
21. A. Montejo-Ráez, E. Martínez-Cámara, M. T. Martín-Valdivia, and L. A. Ureña López. 2012. Random walk weighting over sentiwordnet for sentiment polarity detection on twitter. In Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, WASSA'12, pages 3-10, Stroudsburg, PA, USA. Association for Computational Linguistics.
22. Finn Årup Nielsen. 2011. A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. In Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages. 93-98.
23. Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1532-1543.
24. Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014. SemEval-2014 Task 4: Aspect based sentiment analysis. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 27-35, Dublin, Ireland, August. Association for Computational Linguistics and Dublin City University.
25. Maria Pontiki, Dimitrios 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), Association for Computational Linguistics, Denver, Colorado, pages 486-495.
26. Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeny Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, and Gülşen Eryiǧit. 2016. SemEval-2016 task 5: Aspect based sentiment analysis. In Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval'16, San Diego, California, June. Association for Computational Linguistics.
27. Radim Řehůřek and Petr Sojka. 2010. Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45-50, Valletta, Malta, May. ELRA. http://is.muni.cz/publication/884893/en.
28. Antonio Reyes, Paolo Rosso, and Tony Veale. 2013. A multidimensional approach for detecting irony in twitter. Language Resources and Evaluation, 47(1):239-268.
29. José Saias. 2015. Sentiue: Target and aspect based sentiment analysis in SemEval-2015 task 12. Association for Computational Linguistics.
30. Inaki San Vicente, Xabier Saralegi, Rodrigo Agerri, and Donostia-San Sebastián. 2015. Elixa: A modular and flexible absa platform. SemEval-2015, page 748.
31. Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the conference on empirical methods in natural language processing (EMNLP), volume 1631, page 1642. Citeseer.
32. Josef Steinberger, Mohamed Ebrahim, Maud Ehrmann, Ali Hurriyetoglu, Mijail Kabadjov, Polina Lenkova, Ralf Steinberger, Hristo Tanev, Silvia Vzquez, and Vanni Zavarella. 2012. Creating sentiment dictionaries via triangulation. Decision Support Systems, 53(4):689-694.
33. Zhiqiang Toh and Jian Su. 2015a. Nlangp: Supervised machine learning system for aspect category classification and opinion target extraction.
34. Zhiqiang Toh and Jian Su. 2015b. NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 496-501, Denver, Colorado, June. Association for Computational Linguistics.
35. Zhiqiang Toh and Wenting Wang. 2014. DLIREC: Aspect term extraction and term polarity classification system. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 235-240, Dublin, Ireland, August. Association for Computational Linguistics.
36. Joachim Wagner, Piyush Arora, Santiago Cortes, Utsab Barman, Dasha Bogdanova, Jennifer Foster, and Lamia Tounsi. 2014. DCU: Aspect-based polarity classification for SemEval Task 4. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 223-229, Dublin, Ireland, August. Association for Computational Linguistics.
37. Zhihua Zhang and Man Lan. 2015. Ecnu: Extracting effective features from multiple sequential sentences for target-dependent sentiment analysis in reviews. SemEval-2015, page 736.