International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Aug. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 87
Paper Published : 1231
No. of Authors : 3095
  Journal Paper

Paper Title
An Automatic Text Summarization For Malayalam Using Sentence Extraction

Abstract
Text Summarization is the process of generating a short summary for the document that contains the significant portion of information. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract of the original text. The proposed method is a sentence extraction based single document text summarization which produces a generic summary for a Malayalam document. Sentences are ranked based on feature scores and Googles PageRank formula. Top k ranked sentences will be included in summary where k depends on the compression ratio between original text and summary. Performance evaluation will be done by comparing the summarization outputs with manual summaries generated by human evaluators. Keywords—Text summarization, Sentence Extraction, Stemming, TF-ISF score, Sentence similarity, PageRank formula, Summary generation.


Author - Renjith S R, Sony P

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| Published on 2015-08-04
   
   
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