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A Survey on Multi-Document Summarizer

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  • Meeta B. Fadnavis

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 user’s 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.

Suggested Citation

  • Meeta B. Fadnavis, 2018. "A Survey on Multi-Document Summarizer," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 4(9), pages 59-68, July.
    • Handle: RePEc:ijs:ijsrse:v4:y2018:i9:id:hijsrset18486
    Note: Article URL: https://ijsrset.com/IJSRSET18486
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