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Feature and Opinion Mining for Customer Review Summarization

  • Muhammad Abulaish
  • Jahiruddin
  • Mohammad Najmud Doja
  • Tanvir Ahmad
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

In this paper, we present an opinion mining system to identify product features and opinions from review documents. The features and opinions are extracted using semantic and linguistic analysis of text documents. The polarity of opinion sentences is established using polarity scores of the opinion words through Senti-WordNet to generate a feature-based summary of review documents. The system is also integrated with a visualization module to present feature-based summary of review documents in a comprehendible way.

Keywords

Opinion mining Opinion analysis Sentiment analysis Text mining Review summarization Natural language processing 

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Muhammad Abulaish
    • 1
  • Jahiruddin
    • 1
  • Mohammad Najmud Doja
    • 2
  • Tanvir Ahmad
    • 2
  1. 1.Department of Computer ScienceJamia Millia IslamiaNew DelhiIndia
  2. 2.Department of Computer EngineeringJamia Millia IslamiaNew DelhiIndia

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