Towards Sentiment Classification with Co-Training Method

Qing Xi Peng; Lan You

doi:10.4028/www.scientific.net/AMM.543-547.2053

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Towards Sentiment Classification with Co-Training...

Towards Sentiment Classification with Co-Training Method

Abstract:

With development of Web2.0, user-generated-contents spread in the Internet. It provides good topics to the research. People express their opinions and sentiments on the cyberspace. The opinions and sentiments are very important and attract extensive research. However, it is impossible for the user to browse the content carefully. Hence classification and summarization of online text become a pressing issue. In this paper, we propose a Co-Training method to the sentiment classification. Posts and replies have been chosen as different views for the Co-Training. Several features have been employed. Experimental result in the datasets demonstrates the advantage of the proposed model.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2053-2056

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2053

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Online since:

March 2014

Authors:

Qing Xi Peng, Lan You*

Keywords:

Co-Training, Naive Bayes, Sentiment Classification, Support Vector Machine (SVM)

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* - Corresponding Author

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