International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 120

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014


Survey on Multi-Document Summarizer

Prachi M. Joshi | Rupali R. Kadam


Abstract: Natural language processing provides Text Summarization which is the most popular application for information compression. Text summarization is a process of producing a summary by reducing the size of original document and pertaining important information of original document. There is arising a need to provide high quality summary in less time because in present time, the growth of data increases tremendously on World Wide Web or on users desktops so Multi-Document summarization is the best tool for making summary in less time. This paper presents a survey of existing techniques with the novelties highlighting the need of intelligent Multi-Document summarizer.


Keywords: Multi-Document Summarization, Clustering Based, Extractive and ive approach, Ranked Based, LDA Based, Natural Language Processing


Edition: Volume 3 Issue 12, December 2014,


Pages: 1250 - 1254


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How to Cite this Article?

Prachi M. Joshi, Rupali R. Kadam, "Survey on Multi-Document Summarizer", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 1250-1254, https://www.ijsr.net/get_abstract.php?paper_id=SUB14697

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