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Odia Text Summarization using Stemmer

R. C. Balabantaray, B. Sahoo, D. K. Sahoo, M. Swain Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450135
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  1. R C Balabantaray, B Sahoo, D K Sahoo and M Swain. Article: Odia Text Summarization Using Stemmer. International Journal of Applied Information Systems 1(3):21-24, February 2012. BibTeX

    @article{key:article,
    	author = "R. C. Balabantaray and B. Sahoo and D. K. Sahoo and M. Swain",
    	title = "Article: Odia Text Summarization Using Stemmer",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 1,
    	number = 3,
    	pages = "21-24",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

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.

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Keywords

Automatic text summarization, sentence extraction, term weight, Stemmer