Opinion Mining through Structural Data Analysis Using Neuronal Group Learning

Author:

Pryczek Michał,Szczepaniak Piotr S.

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Andrea Esuli, F.S., Urciuoli, I.: Annotating expressions of opinion and emotion in the italian content annotation bank. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC 2008), Marrakech, Morocco (2008)

2. Argamon, S., Bloom, K., Esuli, A., Sebastiani, F.: Automatically determining attitude type and force for sentiment analysis. In: Proceedings of the 3rd Language & Technology Conference (LTC 2007), Poznań, PL, pp. 369–373 (2007)

3. Bethard, S., Yu, H., Thornton, A., Hatzivassiloglou, V., Jurafsky, D.: Automatic extraction of opinion propositions and their holders. In: Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications, Stanford, USA (2004)

4. Breck, E., Choi, Y., Cardie, C.: Identifying expressions of opinion in context. In: Veloso, M.M. (ed.) Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, pp. 2683–2688. AAAI Press, Menlo Park (2007)

5. Charniak, E.: A maximum-entropy-inspired parser. In: Proceedings of 6th Applied Natural Language Processing Conference, Seattle, Washington, USA, April 29 – May 4, pp. 132–139 (2000)

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