JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis

8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

Volumn , Issue , 2014, Pages 370-374

  Patra, Braja Gopal ^a   Mandal, Soumik ^a   Das, Dipankar ^a   Bandyopadhyay, Sivaji ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; RANDOM PROCESSES; SEMANTICS;

FIELD-BASED APPROACH; ONLINE REVIEWS; RESEARCH INTERESTS; RESTAURANT REVIEWS; SENTIMENT ANALYSIS; SYSTEM IDENTIFY;

SENTIMENT ANALYSIS;

EID: 84942548864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Benjamin Snyder and Regina Barzilay. 2007. Multiple Aspect Ranking Using the Good Grief Algorithm. In Proceedings of the Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), pp. 300-307.
2. Bing Liu. 2012. Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies 5, no. 1 (2012): 1-167.
3. Braja G. Patra, Hiroya Takamura, Dipankar Das, Manabu Okumura, and Sivaji Bandyopadhyay. 2013. Construction of Emotional Lexicon Using Potts Model. In Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP-2013), Nagoya, Japan, pp. 674–679.
4. Carlo Strapparava, and Alessandro Valitutti. 2004. WordNet Affect: an Affective Extension of WordNet. In LREC, vol. 4, pp. 1083-1086.
5. Dipankar Das and Sivaji Bandyopadhyay. 2010. Extracting emotion topics from blog sentences: use of voting from multi-engine supervised classifiers. In Proceedings of the 2nd international workshop on Search and mining user-generated contents, pp. 119-126.
6. Ganu Gayatree, Noemie Elhadad, and Amelie Marian. 2009. Beyond the stars: Improving rating predictions using review text content. In Proceedings of the 12th International Workshop on the Web and Databases, Providence, Rhode Island.
7. Hong Yu and Vasileios Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2013), pp. 129-136.
8. Koby Crammer and Yoram Singer. 2001. Pranking with ranking. In NIPS, vol. 14, pp. 641-647.
9. John Lafferty, Andrew McCallum, Fernando C.N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the 18th International Conference on Machine Learning (ICML 2001), pp. 282-289.
10. 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, pp. 168-177.
11. Ana-Maria Popescu and Oren Etzioni. 2005. Extracting product features and opinions from reviews. In proceedings of the Human Language Technology Conference: Conference on Empirical Methods in Natural Language Processing (HLT-EMNLP). Morristown, NJ, USA, pp. 339–346.
12. Samaneh Moghaddam and Martin Ester. 2010. Opinion digger: an unsupervised opinion miner from unstructured product reviews. In Proceedings of the 19th ACM international conference on Information and knowledge management, pp. 1825-1828.
13. Samuel Brody and Noemie Elhadad. 2010. An unsupervised aspect-sentiment model for online reviews. In Proceedings of the Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL).
14. Soo-Min Kim and Eduard Hovy. 2006. Extracting opinions, opinion holders, and topics expressed in online news media text. In Proceedings of the Workshop on Sentiment and Subjectivity in Text, pp. 1-8.
15. Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. In LREC, vol. 10, pp. 2200-2204.
16. Yohan Jo and Alice H. Oh. 2011. Aspect and sentiment unification model for online review analysis. In Proceedings of the fourth ACM international conference on Web search and data mining.
17. Zhongwu Zhai, Bing Liu, Hua Xu, and Peifa Jia. 2011. Clustering product features for opinion mining. In Proceedings of the fourth ACM international conference on Web search and data mining, pp. 347-354.
18. Maria Pontiki, Dimitrios Galanis, John Pavlopoulos, Haris 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), Dublin, Ireland.