Opinion analysis for business intelligence applications

Proceedings of the 1st International Workshop on Ontology-supported Business Intelligence, OBI 2008

Volumn , Issue , 2008, Pages

  Funk, Adam ^a   Li, Yaoyong ^a   Saggion, Horacio ^a   Bontcheva, Kalina ^a   Leibold, Christian ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Business intelligence; Opinion analysis; Sentiment extraction

Indexed keywords

KNOWLEDGE BASED SYSTEMS;

BUSINESS ANALYSTS; BUSINESS INTELLIGENCE; BUSINESS INTELLIGENCE APPLICATIONS; CREDIT RATINGS; KNOWLEDGE BASE; LINGUISTIC INFORMATIONS; MACHINE-LEARNING; OPINION ANALYSIS; OPINION MININGS; PUBLIC FORUMS; RDF STATEMENTS; SENTIMENT EXTRACTION;

ONTOLOGY;

EID: 63149143861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1452567.1452570     Document Type: Conference Paper

References (20)

1. K. Bontcheva, M. Dimitrov, D. Maynard, V. Tablan, and H. Cunningham. Shallow Methods for Named Entity Coreference Resolution. In Chaînes de références et résolveurs d'anaphores, workshop TALN 2002, Nancy, France, 2002. http://gate.ac.uk/sale/taln02/taln-ws-coref.pdf.
2. K. W. Church and P. Hanks. Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1):22-29, 1990.
3. H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan. GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. In Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL'02), 2002.
4. M. Dimitrov, K. Bontcheva, H. Cunningham, and D. Maynard. A Light-weight Approach to Coreference Resolution for Named Entities in Text. In A. Branco, T. McEnery, and R. Mitkov, editors, Anaphora Processing: Linguistic. Cognitive and Computational Modelling. John Benjamins, 2004.
5. A. Esuli and F. Sebastiani. SENTIWORDNET: A publicly available lexical resource for opinion mining, in Proceedings of LREC 2006, 2006.
6. M. Hepple. Independence and Commitment: Assumptions for Rapid Training and Execution of Rule-based Part-of-Speech Taggers. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, Hong Kong, October 2000.
7. M. Hu and B. Liu. Mining and summarizing customer reviews. In KDD '04: Proceedings of the tenth ACPI SIGKDD international conference on Knowledge discovery and data mining, pages 168-177, New York, NY, USA, 2004. ACM.
8. Y. Li, K. Bontcheva, and H. Cunningham. An SVM Based Learning Algorithm for information Extraction. Machine Learning Workshop, Sheffield, 2004. http://gate.ac.uk/sale/ml-ws04/mlw2004.pdf.
9. Y. Li, K. Bontcheva, and H. Cunningham. Cost Sensitive Evaluation Measures for F-term Patent Classification. In The First International Workshop on Evaluating Information Access (EVIA 2007), pages 44-53, May 2007.
10. Y. Li, K. Bontcheva, and H. Cunningham. Experiments of opinion analysis on the corpora MPQA and NTCIR-6. In Proceedings of the Sixth NTCIR, Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access, pages 323-329, May 2007.
11. B. Liu, M. Hu, and J. Cheng. Opinion observer: analyzing and comparing opinions on the web. In Proceedings of the 14th international conference on World Wide Web (WWW '05), pages 342-351, New York, NY, USA, 2005. ACM.
12. C. D. Manning and H. Schütze. Evaluation measures. In Foundations of statistical natural language processing, chapter 8.1, pages 267-271. Cambridge, MA, MIT Press, 1999.
13. B. Medlock and T. Briscoe. Weakly supervised learning for hedge classification in scientific literature. In Proceedings of the ACL 2007, 2007.
14. B. Pang, L. Lee, and S. Vaithyanathan. Thumbs up? Sentiment Classification Using Machine Learning Techniques. In Proceedings of the 2002 Conference on EMNLP, pages 79-86, 2002.
15. S. S. Piao, S. Ananiadou, Y. Tsuruoka, Y. Sasaki, and J. McNaught. Mining opinion polarity relations of citations, fn Proceedings of the 7th International Workshop on Computational Semantics, 2007.
16. E. Riloff, C. Schafer, and D. Yarowsky. Inducing information extraction systems for new languages via cross-language projection. In Proceedings of the 19th international conference on Computational linguistics, pages 1-7, Morristown, NJ, USA, 2002. Association for Computational Linguistics.
17. H. Saggion, A. Funk, D. Maynard, and K. Bontcheva. Ontology-based information extraction for business applications. In Proceedings of the 6th International Semantic Web Conference (ISWC 2007), Busan, Korea, November 2007.
18. P. D. Turney. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews, fn Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (ACL '02), pages 417-424, Morristown, NJ, USA, July 2002. Association for Computational Linguistics.
19. T. Zagibalov and J. Carroll. Unsupervised classification of sentiment and objectivity in Chinese text, In Proceedings of IJCNLP 2008, Hyderabad, India, January 2008.
20. L. Zhuang, F. Jing, and X.-Y. Zhu. Movie review mining and summarization. In CIKM '06: Proceedings of the. 15th ACM international conference on Information and knowledge management, pages 43-50, New York, NY, USA, 2006. ACM.