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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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