• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

DMCA

Bilingual Co-Training for Sentiment Classification of Chinese Product Reviews

Cached

  • Download as a PDF

Download Links

  • [www.aclweb.org]
  • [aclweb.org]
  • [wing.comp.nus.edu.sg]
  • [aclweb.org]
  • [www.aclweb.org]
  • [aclweb.org]
  • [wing.comp.nus.edu.sg]

  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Xiaojun Wan
Citations:4 - 0 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Wan_bilingualco-training,
    author = {Xiaojun Wan},
    title = {Bilingual Co-Training for Sentiment Classification of Chinese Product Reviews},
    year = {}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

The lack of reliable Chinese sentiment resources limits research progress on Chinese sentiment classification. However, there are many freely available English sentiment resources on the Web. This article focuses on the problem of cross-lingual sentiment classification, which leverages only available English resources for Chinese sentiment classification. We first investigate several basic methods (including lexicon-based methods and corpus-based methods) for cross-lingual sentiment classification by simply leveraging machine translation services to eliminate the language gap, and then propose a bilingual co-training approach to make use of both the English view and the Chinese view based on additional unlabeled Chinese data. Experimental results on two test sets show the effectiveness of the proposed approach, which can outperform basic methods and transductive methods. 1.

Keyphrases

chinese product review    sentiment classification    bilingual co-training    chinese sentiment classification    cross-lingual sentiment classification    language gap    available english resource    chinese view    additional unlabeled chinese data    test set    english view    machine translation service    basic method    research progress    transductive method    several basic method    corpus-based method    lexicon-based method    reliable chinese sentiment resource    available english sentiment resource    experimental result    bilingual co-training approach   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University