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Study on Multi Document Summarization by Machine Learning Technique for Clustered Documents
Sweta Kasundara,  Prof. Devangi L. Kotak
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
Unique Identification Number - IJEDR1701059Page Number(s) - 379-383Pubished in - Volume 5 | Issue 1 | March 2017DOI (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