IHS R&D Belarus: Cross-domain Extraction of Product Features using Conditional Random Fields

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 309-313

  Chernyshevich, Maryna ^a  

^a FEKETE ASSOCIATES INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; EXTRACTION; LAPTOP COMPUTERS; RANDOM PROCESSES; SEMANTICS;

BELARUS; CROSS-DOMAIN; DOMAIN SPECIFIC; EXTRACTION SYSTEMS; LEXICAL FEATURES; PRODUCT FEATURE; SENTIMENT ANALYSIS; STATISTICAL FEATURES; SYNTACTIC FEATURES; TWO DOMAINS;

SENTIMENT ANALYSIS;

EID: 85101927312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Anthony Aue and Michael Gamon. 2005. Customizing sentiment classifiers to new domains: a case study. In Proceedings of Recent Advances in Natural Language Processing, RANLP-2005.
2. Sasha Blair-Goldensohn, Kerry Hannan, Ryan McDonald, Tyler Neylon, George A. Reis, and Jeff Reynar. 2008. Building a sentiment summarizer for local service reviews. In Proceedings of WWW-2008 workshop on NLP in the Information Explosion Era.
3. V. S. Jagtap and Karishma Pawar. 2012. Analysis of different approaches to Sentence-Level Sentiment Classification. International Journal of Scientific Engineering and Technology, Volume 2, Issue 3.
4. Niklas Jakob and Iryna Gurevych. 2010. Extracting opinion targets in a single- and cross-domain setting with conditional random fields. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP’10.
5. Soo-Min Kim and Eduard Hovy. 2004. Determining the sentiment of opinions. In Proceedings of Interntional Conference on Computational Linguistics, COLING’04.
6. Nozomi Kobayashi, Ryu Iida, Kentaro Inui, and Yuji Matsumoto. 2006. Opinion mining on the Web by extracting subject-attribute-value relations. In Proceedings of AAAI-CAAW ’06.
7. John Lafferty, Andrew McCallum, and Fernando 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.
8. Fangtao Li, Chao Han, Minlie Huang, Xiaoyan Zhu, Ying-Ju Xia, Shu Zhang, and Hao Yu. 2010. Structure-aware review mining and summarization. In Proceedings of the 23rd International Conference on Computational Linguistics, COLING’10.
9. Bing Liu. 2012. Sentiment Analysis and Opinion Mining.
10. Samaneh Moghaddam and Martin Ester. 2012. Aspect-based opinion mining from online reviews. Tutorial at SIGIR Conference.
11. Arjun Mukherjee and Bing Liu. 2012. Aspect Extraction through Semi-Supervised Modeling. In Proceedings of 50th Anunal Meeting of Association for Computational Linguistics, ACL’12.
12. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of Conference on Empirical Methods in Natural Language Processing, EMNLP’02.
13. Ana-Maria Popescu and Oren Etzioni. 2005. Extracting product features and opinions from reviews. In Proceedings of Conference on Empirical Methods in Natural Language Processing, EMNLP’05.
14. Lawrence R. Rabiner. 1989. A tutorial on hidden Markov models and selected applications in speech recognition. In Proceedings of the IEEE, 77(2): p. 257-286.
15. Maksim Tkachenko and Andrey Simanovsky. 2012. Named Entity Recognition: Exploring Features. In Proceedings of KONVENS’12.
16. James Todhunter, Igor Sovpel and Dzianis Pastanohau. System and method for automatic semantic labeling of natural language texts. U.S. Patent 8 583 422, November 12, 2013.
17. James Todhunter, Igor Sovpel and Dzianis Pastanohau. Question-answering system and method based on semantic labeling of text documents and user questions. U.S. Patent 8 666 730, September 16, 2014.
18. 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, ACL’02.
19. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP’05.
20. Lei Zhang and Bing Liu. 2014. Aspect and Entity Extraction for Opinion Mining. Data Mining and Knowledge Discovery for Big Data.
21. Li Zhuang, Feng Jing, and Xiaoyan Zhu. 2006. Movie review mining and summarization. In Proceedings of ACM International Conference on Information and Knowledge Management, CIKM’06.
22. 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.