A Fuzzy System for Concept-Level Sentiment Analysis

Author:

Dragoni Mauro,Tettamanzi Andrea G. B.,da Costa Pereira Célia

Publisher

Springer International Publishing

Reference13 articles.

1. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Philadelphia, Association for Computational Linguistics, pp. 79–86 (July 2002)

2. Blitzer, J., Dredze, M., Pereira, F.: Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In: Carroll, J.A., van den Bosch, A., Zaenen, A. (eds.) ACL, The Association for Computational Linguistics (2007)

3. Bollegala, D., Weir, D.J., Carroll, J.A.: Cross-domain sentiment classification using a sentiment sensitive thesaurus. IEEE Trans. Knowl. Data Eng. 25(8), 1719–1731 (2013)

4. Xia, R., Zong, C., Hu, X., Cambria, E.: Feature ensemble plus sample selection: domain adaptation for sentiment classification. IEEE Int. Syst. 28(3), 10–18 (2013)

5. Ponomareva, N., Thelwall, M.: Semi-supervised vs. cross-domain graphs for sentiment analysis. In: Angelova, G., Bontcheva, K., Mitkov, R. (eds.) RANLP, RANLP 2011 Organising Committee/ACL, pp. 571–578 (2013)

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