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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 2, February 2016
Automatic Text Summarization: A Detailed Study
Nimisha Dheer | Chetan Kumar [5]
Abstract: During this paper we've got studied the conception and trends within the field of text report. Text report is compression the supply text into a shorter version conserving its info content and overall that means. It's terribly tough for people to manually summarize large documents of text. Text report ways will be classified into extractive and ive report. Associate extractive report methodology consists of choosing vital sentences, paragraphs etc. from the first document and concatenating them into shorter kind. The importance of sentences is set supported applied mathematics and linguistic options of sentences. An ive summarization methodology consists of understanding the first text and re-telling it in fewer words. It uses linguistic ways to look at and interpret the text then to seek out the new ideas and expressions to best describe it by generating a brand new shorter text that conveys the most necessary info from the first text document.
Keywords: ive Summary, Extractive Summary, Summary, Text Summarization
Edition: Volume 5 Issue 2, February 2016,
Pages: 429 - 433
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Downloads: 105
Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 11, November 2016
Pages: 1304 - 1307A Survey Paper on Mining Keywords Using Text Summarization Extraction System for Summary Generation over Multiple Documents
Parmar Paresh B. [2] | Ketan Patel [2]
Downloads: 130
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015
Pages: 824 - 826A Survey on Multi-Document Summarization Approaches
Smita Bachal | S.M. Sangve