Prof. Dr. Walt Detmar Meurers
Publications
Automatic Sentiment Classification of Product Reviews Using Maximal Phrases Based Analysis

  

Maria Tchalakova, Dale Gerdemann, and Detmar Meurers

  

Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA) at ACL-HLT 2011, Portland, Oregon.

  

In this paper we explore the use of phrases occurring maximally in text as features for sentiment classification of product reviews. The goal is to find in a statistical way representative words and phrases used typically in positive and negative reviews. The approach does not rely on predefined sentiment lexicons, and the motivation for this is that potentially every word could be considered as expressing something positive and/or negative in different situations, and that the context and the personal attitude of the opinion holder should be taken into account when determining the polarity of the phrase, instead of doing this out of particular context.

  


  

Electronically available:

  • Paper: pdf (217.750 bytes)
  • ACL Anthology link: pdf (217.750 bytes)

  

Note: The electronic versions of the publications linked on this page are the last versions I had the copyright for. Where a publisher copyedited and/or typeset the papers, the electronic copies linked here are NOT identical to the officially published version, which should be used for any quotes, references to page numbers, etc.

  


  

Bibtex entry:

 
@InProceedings{tchalakova-gerdemann-meurers:2011:WASSA2011,
  author    = {Tchalakova, Maria  and  Gerdemann, Dale  and  Meurers, Detmar},
  title     = {Automatic Sentiment Classification of Product Reviews 
               Using Maximal Phrases Based Analysis},
  booktitle = {Proceedings of the 2nd Workshop on Computational Approaches 
               to Subjectivity and Sentiment Analysis (WASSA 2.011)},
  year      = {2011},
  address   = {Portland, Oregon},
  publisher = {Association for Computational Linguistics},
  pages     = {111--117},
  url       = {http://www.aclweb.org/anthology/W11-1714}
}