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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Study on Multi Document Summarization by Machine Learning Technique for Clustered Documents
Authors
  Sweta Kasundara,  Prof. Devangi L. Kotak

Abstract
This paper discusses the development of multidocument summarization by using different approach like abstractive-extractive summarization approach.Multidocument summarization is a technology that use to summarize multiple documents and make its summary.A particular challenge for multi-document summarization is that there is an information stored in different documents. In this paper we discuss different approaches used like LSA, LDA, LDA-SVD, Semantic Graph approach etc.

Keywords- Summarization, Multi document summarization, Abstractive Technique, Extractive Technique
Publication Details
Unique Identification Number - IJEDR1701059
Page Number(s) - 379-383
Pubished in - Volume 5 | Issue 1 | March 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Sweta Kasundara,  Prof. Devangi L. Kotak,   "Study on Multi Document Summarization by Machine Learning Technique for Clustered Documents", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.379-383, March 2017, Available at :http://www.ijedr.org/papers/IJEDR1701059.pdf
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