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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Extractive Summary Generation with Word Alignment Model
Authors
  Ashwini Atole,  Digambar Padulkar

Abstract
Mining Opinion Word-target pairs from extensive number of online reviews is imperative in opinion mining. It is also imperative to recognize Opinion Relations among Opinion targets and Opinion words. This system identifies Opinion relation by generating alignments with the help of Word Alignment Model. Graph is constructed after calculating Opinion association among words. Opinion word-target pairs are extracted with higher confidence. This system achieves better accuracy compared to previous unsupervised word alignment model method. Ultimate task is to generate summary.

Keywords- Word alignment model, opinion target, Opinion word
Publication Details
Unique Identification Number - IJEDR1603039
Page Number(s) - 233-236
Pubished in - Volume 4 | Issue 3 | July 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ashwini Atole,  Digambar Padulkar,   "Extractive Summary Generation with Word Alignment Model", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.233-236, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603039.pdf
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