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Paper Title
Feature-based Opinion Summarization: A Survey
  Nirali Makadia

Significant advancement in e-commerce and Web 2.0 has led to the invention of several websites selling products online. These websites also facilitate the buyers to express their opinions about the products & their features in the form of reviews. Knowing these opinions and the related sentiments plays a vital role in decision making processes involving regular customers to executive managers. But these reviews are available in huge numbers hence referring them becomes a practically impossible task to achieve. Thus a new orientation of natural language processing called Opinion Mining & Summarization has emerged to deal with the problem. Feature-based Opinion Summarization is one of these summarization techniques which provide brief yet most relevant information about different features related to the target product. This paper represents an in-depth literature survey of various techniques for Feature-based Opinion Summarization.

Keywords- Opinion mining, Sentiment Analysis, Opinion Summarization, Feature-based Opinion Summarization
Publication Details
Unique Identification Number - IJEDR1602117
Page Number(s) - 669-673
Pubished in - Volume 4 | Issue 2 | May 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Nirali Makadia,   "Feature-based Opinion Summarization: A Survey", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.669-673, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602117.pdf
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