International Journal of Advance Computational Engineering and Networking (IJACEN)
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Volume-8,Issue-7  ( Jul, 2020 )
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 90
Paper Published : 1248
No. of Authors : 3136
  Journal Paper

Paper Title
Automatic Text Summarization

Abstract
The advent of WWW has created a large reservoir of data. There is an enormous amount of textual material, and it is only growing every single day. The data is unstructured and the best that we can do to navigate it is to use search and skim the results. A short summary, which conveys the essence of the document, helps in finding relevant information quickly. Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. This method uses Natural Language Processing (NLP) Techniques to summarize a given text document. Keywords - Natural Language Processing (NLP), Extractive Summarization and Abstractive summarization, Entity Recognition, Relationship Extraction, Template Design, Summary Generation


Author - Anagha Shamprasad, Akshatha G Krishna, Reshma J, Shashankbm

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| Published on 2019-09-26
   
   
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