Joint sentiment/topic model for sentiment analysis

Chenghua Lin, Yulan He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment/topic model (JST), which detects sentiment and topic simultaneously from text. Unlike other machine learning approaches to sentiment classification which often require labeled corpora for classifier training, the proposed JST model is fully unsupervised. The model has been evaluated on the movie review dataset to classify the review sentiment polarity and minimum prior information have also been explored to further improve the sentiment classification accuracy. Preliminary experiments have shown promising results achieved by JST.
Original languageEnglish
Title of host publicationCIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management
Place of PublicationNew York (US)
PublisherACM
Pages375-384
Number of pages10
ISBN (Print)978-1-60558-512-3
DOIs
Publication statusPublished - Nov 2009
Event18th ACM conference on Information and knowledge management - Hong Kong, China
Duration: 2 Nov 20096 Nov 2009

Conference

Conference18th ACM conference on Information and knowledge management
Abbreviated titleCIKM '09
CountryChina
CityHong Kong
Period2/11/096/11/09

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Learning systems
Classifiers
Experiments

Cite this

Lin, C., & He, Y. (2009). Joint sentiment/topic model for sentiment analysis. In CIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management (pp. 375-384). New York (US): ACM. https://doi.org/10.1145/1645953.1646003
Lin, Chenghua ; He, Yulan. / Joint sentiment/topic model for sentiment analysis. CIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management. New York (US) : ACM, 2009. pp. 375-384
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Lin, C & He, Y 2009, Joint sentiment/topic model for sentiment analysis. in CIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management. ACM, New York (US), pp. 375-384, 18th ACM conference on Information and knowledge management, Hong Kong, China, 2/11/09. https://doi.org/10.1145/1645953.1646003

Joint sentiment/topic model for sentiment analysis. / Lin, Chenghua; He, Yulan.

CIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management. New York (US) : ACM, 2009. p. 375-384.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lin C, He Y. Joint sentiment/topic model for sentiment analysis. In CIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management. New York (US): ACM. 2009. p. 375-384 https://doi.org/10.1145/1645953.1646003