IIT-TUDA at SemEval-2016 task 5: Beyond Sentiment lexicon: Combining domain dependency and distributional semantics features for aspect based sentiment analysis

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

Volumn , Issue , 2016, Pages 1129-1135

  Kumar, Ayush ^a   Kohail, Sarah ^b   Kumar, Amit ^a   Ekbal, Asif ^a   Biemann, Chris ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY PATNA   (India)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

SENTIMENT ANALYSIS;

DEPENDENCY GRAPHS; DIFFERENT DOMAINS; DISTRIBUTIONAL SEMANTICS; OPINION TARGETS; POLARITY CLASSIFICATION; RESTAURANT REVIEWS; SENTIMENT LEXICONS; TURKISHS;

SEMANTICS;

EID: 85007319348     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1174     Document Type: Conference Paper

References (20)

1. Chris Biemann and Martin Riedl. 2013. Text: Now in 2D! a framework for lexical expansion with contextual similarity. Journal of Language Modelling, 1(1):55-95.
2. Chris Biemann. 2009. Unsupervised Part-of-Speech Tagging in the Large. Research on Language and Computation, 7(2):101-135.
3. Corinna Cortes and Vladimir Vapnik. 1995. Support vector machine. Machine learning, 20(3):273-297.
4. Rahim Dehkharghani, Yucel Saygin, Berrin Yanikoglu, and Kemal Oflazer. 2015. SentiTurkNet: a Turkish polarity lexicon for sentiment analysis. Language Resources and Evaluation, pages 1-19.
5. Andrea Esuli and Fabrizio Sebastiani. 2006. SentiWord-Net: A publicly available lexical resource for opinion mining. In In Proceedings of the 5th Conference on Language Resources and Evaluation, pages 417-422, Genoa, Italy.
6. Govind, Asif Ekbal, and Chris Biemann. 2014. Multiobjective optimization and unsupervised lexical acquisition for named entity recognition and classification. In Proceedings the 11th International Conference on Natural Language Processing (ICON), Goa, India.
7. Vasileios Hatzivassiloglou and Kathleen R McKeown. 1997. Predicting the semantic orientation of adjectives. In Proceedings of the 35th annual meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, pages 174-181, Madrid, Spain.
8. Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 168-177, Seattle, WA.
9. Sarah Kohail. 2015. Unsupervised topic-specific domain dependency graphs for aspect identification in sentiment analysis. In Student Research Workshop Associated with the International Conference Recent Advances in Natural Language Processing (RANLP 2015), pages 16-23, Hissar, Bulgaria.
10. Ayush Kumar, Sarah Kohail, Asif Ekbal, and Chris Biemann. 2015. IIT-TUDA: System for sentiment analysis in indian languages using lexical acquisition. In Mining Intelligence and Knowledge Exploration, pages 684-693. Hyderabad, India.
11. John D Lafferty, Andrew McCallum, and Fernando C N Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the Eighteenth International Conference on Machine Learning, ICML'01, pages 282-289, Williamstown, MA, USA.
12. Bing Liu. 2012. Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers.
13. Saif M Mohammad and Peter D Turney. 2013. Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3):436-465.
14. 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, pages 93-98, Heraklion, Greece.
15. Alexander Panchenko. 2014. Sentiment index of the Russian speaking Facebook. In In Proceedings of International Conference on Computational Linguistics. Dialogue 2014, pages 506-517, Moscow, Russia.
16. Bo Pang and Lillian Lee. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2 (1-2) :1-135.
17. 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. Association for Computational Linguistics.
18. Mohammad Salameh, Saif M Mohammad, and Svetlana Kiritchenko. 2015. Sentiment after translation: A case-study on Arabic social media posts. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 767-777, Denver, Colorado.
19. 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.
20. Xiaodan Zhu, Svetlana Kiritchenko, and Saif M Mohammad. 2014. NRC-Canada-2014: Recent improvements in the sentiment analysis of tweets. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 443-447, Dublin, Ireland.