Sentiment Detection Using Lexically-Based Classifiers-Reference-Cited by-同舟云学术

Sentiment Detection Using Lexically-Based Classifiers

Published: Issue: Volume: Page:21-28
ISSN:0302-9743
Container-title:Text, Speech and Dialogue
language:
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Author:

Allison Ben

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-87391-4_5.pdf

Reference16 articles.

1. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? sentiment classification using machine learning techniques. In: Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2002)

2. Turney, P., Littman, M.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems 21(4), 315–346 (2003)

3. Efron, M.: Cultural orientation: Classifying subjective documents by cociation (sic) analysis. In: Proceedings of the AAAI Fall Symposium on Style and Meaning in Language, Art, Music, and Design, pp. 41–48 (2004)

4. Mullen, T., Malouf, R.: A preliminary investigation into sentiment analysis for informal political discourse. In: Proceedings of the AAAI Workshop on Analysis of Weblogs (2006)

5. Thomas, M., Pang, B., Lee, L.: Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In: Proceedings of EMNLP, pp. 327–335 (2006)

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