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Number 3

Odia Text Summarization using Stemmer

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  • R. C. Balabantaray and B. Sahoo and D. K. Sahoo and M. Swain 2012. Odia Text Summarization using Stemmer . International Journal of Applied Information Systems. 1, 3 (February 2012), 21-24. DOI=http://dx.doi.org/10.5120/ijais450135 
  • @article{10.5120/ijais2017451568,
author = {R. C. Balabantaray and B. Sahoo and D. K. Sahoo and M. Swain},
title = {Odia Text Summarization using Stemmer },
journal = {International Journal of Applied Information Systems},
issue_date = {February 2012},
volume = {1},
number = {},
month = {February},
year = {2012},
issn = {},
pages = {21-24},
numpages = {},
url = {/archives/volume1/number3/74-0135},
doi = { 10.5120/ijais12-450135},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450135
%A R. C. Balabantaray
%A B. Sahoo
%A D. K. Sahoo
%A M. Swain
%T Odia Text Summarization using Stemmer 
%J International Journal of Applied Information Systems
%@ 
%V 1
%N 
%P 21-24
%D 2012
%I  xA9 2010 by IJAIS Journal

Abstract

Lot of work has already been done for automatic text summarization. In this paper we have given a novel statistical approach to summarize the given Odia text. In our approach extraction of relevant sentences is done which can give the actual concept of the input document in a concise form. We rank each sentence in the document by assigning a weight value to each word of the sentence. The sentences are extracted as per their rank, which will lead to a good summary of the given text.

References

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Keywords

Automatic text summarization, sentence extraction, term weight, Stemmer

Index Terms

Computer Science
Information Sciences