Opinion mining from noisy text data

International Journal on Document Analysis and Recognition

Volumn 12, Issue 3, 2009, Pages 205-226

  Dey, Lipika ^a   Haque, Sk Mirajul ^a  

^a TATA CONSULTANCY SERVICES   (India)

Author keywords

Context dependent cleaning; Noisy text; Opinion mining; Text analytics for market knowledge discovery; WordNet

Indexed keywords

CONTEXT-DEPENDENT CLEANING; NOISY TEXT; OPINION MINING; TEXT ANALYTICS FOR MARKET KNOWLEDGE DISCOVERY; WORDNET;

COMMERCE; INTERNET; KNOWLEDGE BASED SYSTEMS; ONLINE SYSTEMS; ONTOLOGY; SEMANTIC WEB;

MINING;

EID: 70349973704     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-009-0090-z     Document Type: Conference Paper

References (31)

1. Benamara, F., Cesarano, C., Picariello, A., Reforgiato, D., Subrahmanian, A.S.: Sentiment analysis: adjectives and adverbs are better than adjectives alone. In: Proceedings of International Conference on Weblogs and Social Media (ICWSM 2007) Boulder, CO, USA (2007)
2. Brill, E., Moore, R.C.: An improved error model for noisy channel spelling correction. In: Proceedings of ACL 2000 (2000)
3. Cesarano, C., Dorr, B., Picariello, A., Reforgiato, D., Sagoff, A., SAbrahmanian, V.S.: OASYS: an Opinion Analysis System, AAAI 06 spring symposium on Computational Approaches to Analyzing Weblogs, 2004 (2006)
4. Chieu, H.L., Ng, H.T.: A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text. AAAI/IAAI 2002, pp. 786-791 (2002)
5. Clark, A.: Preprocessing very noise text. In: Proceedings of Workshop on Shallow Processing of Large Corpora, Corpus Linguistics. http:// www.issco.unige.ch/staff/clark/SprolacPaper.doc.pdf (2003)
6. Dave, K, Lawrence, S., Pennock, D.M.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews, WW2003, Budapest, Hungary (2003)
7. Ding, X., Liu, B.: The Utility of Linguistic Rules in Opinion Mining. SIGIR-2007 (poster paper), Amsterdam (2007)
8. Esuli, A., Sebastiani, F.: SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining, LREC2006 Conference on Language Resources and Evaluation, Genova (2006)
9. Ghose, A., Ipeirotis, P.G., Sundararajan, A.: Opinion Mining Using Econometrics: A Case Study on Reputation Systems, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 416-423. Prague, Czech Republic (2007)
10. Gotoh, Y., Renals, S.: Sentence boundary detection in broadcast speech transcripts. In: Proceedings of International Speech Communication Association (ISCA) Workshop: Authomatic Speech Recognition: Challanges for the New Millenium (ASR-2000), Paris, France (2000)
11. Hatzivassiloglou, V., McKeown, K.: Predicting the Semantic Orientation of Adjectives. In: ACL 1997 Proceedings, pp. 174-181 (1997)
12. Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proceedings of Nineteeth National Conference on Artificial Intelligence (AAAI-2004), San Jose, USA (2004a)
13. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004), Seattle, Washington, USA (2004b)
14. Jindal, N., Liu, B.: Mining comparative sentences and relations. In: Proceedings of 21st National Conference on Artificial Intellgience (AAAI-2006), Boston, Massachusetts, USA (2006)
15. Kernighan, M., Church, K., Gale, W.: A spelling correction program based on a noisy channel model. In: Proceedings of COLING 1990, pp 205-210 (1990)
16. Kim, J., Schwarm, S.E., Ostendorf, M.: Detecting structural metadata with decision trees and transformation-based learning. In: Proc. HLTNAACL, pp. 137-144 (2004)
17. Klein, D., Manning, C.D.: Fast exact inference with a factored model for natural language parsing. In: Advances in Neural Information Processing Systems 15 (NIPS 2002) pp. 3-10. MIT Press, Cambridge (2003)
18. Liu, Y., Stolcke, A., Shriberg, E., Harper, M.: Using conditional random fields for sentence boundary detection in speech. In: Proceedings of of ACL-05, pp. 451-458. Ann Arbor, MI, USA (2005)
19. Liu, B., Hu,AM., Cheng, J.: Opinion observer: analyzing and comparing opinions on the web. In: Proceedings of the 14th international World Wide Web conference (WWW-2005), Chiba, Japan (2005)
20. Mikheev A. (2002) Periods, capitalized words, etc. Comput. Linguist. 28: 289-318
21. Mei, I., Mi, H., Quiaot, J.: Sentiment Mining and Indexing in Opinmind, ICWSM'2007 Boulder, Colorado, USA (2007)
22. Nasukawa, T., Punjani, D., Roy, S., Subramaniam, L.V., Takeuchi, H.: Adding Sentence Boundaries to Conversational Speech Transcriptions using Noisily Labelled Examples. In: Proceedings of IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text, pp. 71-78, Hyderabad, India (2007)
23. Pavel, S.: Using WordNet for opinion mining. In: Proceedings of the Third International WordNet Conference, GWC 2006, pp. 333-335. Brno, CZ (2006)
24. Pang, B., Lee, L.: S sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the ACL, 2004 (2004)
25. Popescu, A.M., Etzioni, O.: Extracting Product Features and Opinions from Reviews, EMNLP-05, Canada (2005)
26. Qiu, G., Liu, K., Bu, J., Chen, C., Kang, Z.: Extracting opinion topics for Chinese opinions using dependence grammar. In: Proceedings of the 1st International Workshop on Data Mining and Audience Intelligence for Advertising held during International Conference on Knowledge Discovery and Data Mining, pp. 40-45. San Jose, California (2007)
27. Qiu, G., Wang, C., Bu, J., Liu, K., Chen, C.: Incorporate the Syntactic Knowledge in Opinion Mining in User-generated Content, WWW 2008, Beijing, China (2008)
28. Turney, P.D.: Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, Pennsylvania (2002)
29. Turney P.D., Littman M.L. (2003) Measuring praise and criticism: Inference of semantic orientation from association. ACM Trans. Inf. Syst. 21(4): 315-346
30. Wong, W., Liu, W., Bennamoun, M.: Integrated Scoring for Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text. In: Proceedings of AusDM2006 Fifth Australasian Data Mining Conference, CRPIT, vol. 61, pp. 83-89, Sydney, Australia (2006)
31. Wong, W., Liu, W., Bennamoun, M.: Enhanced Integrated Scoring for Cleaning Dirty Texts. In: Proceedings of IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text, pp. 55-62, Hyderabad, India (2007)