A survey on opinion mining and sentiment analysis: Tasks, approaches and applications

Author:

Ravi Kumar,Ravi Vadlamani

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference251 articles.

1. Opinion mining and sentiment analysis;Pang;Found. Trends Inform. Retrieval,2008

2. A. Balahur, Methods and Resources for Sentiment Analysis in Multilingual Documents of Different Text Types, PhD Thesis, University of Alicante, Spain, 2011, 273p.

3. I. Niles, A. Pease, Linking lexicons and ontologies:mapping WordNet to the suggested upper merged ontology, in: Proceedings of the 2003 International Conference on Information and Knowledge Engineering (IKE 03), Las Vegas, 2003, pp. 23–26.

4. C. Strapparava, A. Valitutti, WordNet-Affect: an affective extension of WordNet, in: Proceedings of LREC, vol. 4, 2004, pp. 1083–1086.

5. A. Esuli, F. Sebastiani, SENTIWORDNET: a publicly available lexical resource for opinion mining, in: Proceedings of the 5th Conference on Language Resources and Evaluation LREC-06, Genoa, Italy, 2006, pp. 417–422 (See also: http://sentiwordnet.isti.cnr.it/).

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