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Text Summarization Using Term Weights

by R.C. Balabantaray, D.K. Sahoo, B. Sahoo, M. Swain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 1
Year of Publication: 2012
Authors: R.C. Balabantaray, D.K. Sahoo, B. Sahoo, M. Swain
10.5120/4650-6731

R.C. Balabantaray, D.K. Sahoo, B. Sahoo, M. Swain . Text Summarization Using Term Weights. International Journal of Computer Applications. 38, 1 ( January 2012), 10-14. DOI=10.5120/4650-6731

@article{ 10.5120/4650-6731,
author = { R.C. Balabantaray, D.K. Sahoo, B. Sahoo, M. Swain },
title = { Text Summarization Using Term Weights },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 1 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number1/4650-6731/ },
doi = { 10.5120/4650-6731 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:24.337387+05:30
%A R.C. Balabantaray
%A D.K. Sahoo
%A B. Sahoo
%A M. Swain
%T Text Summarization Using Term Weights
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 1
%P 10-14
%D 2012
%I Foundation of Computer Science (FCS), NY, 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 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 and a boost factor is also added to those terms which appear in bold, italic or underlined or any combination of these features. It helps us to extract more relevant sentences which will lead to a good summary of the given text.

References
  1. Farshad Kyoomarsi, Hamid Khosravi, Esfandiar Eslami and Pooya Khosravyan Dehkordy, “Optimizing Text Summarization Based on Fuzzy Logic”, In proceedings of Seventh IEEE/ACIS International Conference on
  2. Computer and Information Science, IEEE, University of Shahid Bahonar Kerman, UK, 347-352, 2008.
  3. Weiguo Fan, Linda Wallace, Stephanie Rich, and Zhongju Zhang, “Tapping into the Power of Text Mining”, Journal of ACM, Blacksburg, 2005.
  4. Luhn, H. P. (1958). The automatic creation of literature abstracts. IBM Journal of Research Development, 2(2):159-165.
  5. Baxendale, P. (1958). Machine-made index for technical literature - an experiment. IBM Journal of Research Development, 2(4):354-361.
  6. Edmundson, H. P. (1969). New methods in automatic extracting. Journal of the ACM, 16(2):264-285.
  7. H. P. Edmundson.,” New methods in automatic extracting”, Journal of the ACM, 16(2):264-285, April 1969.
  8. J. Kupiec, J. Pedersen, and F. Chen, “A trainable document summarizer”, In Proceedings of the 18th ACMSIGIR Conference, pages 68-73, 1995.
  9. Ronald Brandow, Karl Mitze, and Lisa F. Rau. “Automatic condensation of electronic publications by sentence selection. Information Processing and Management”, 31(5):675-685,1995.
  10. Vishal Gupta, G.S. Lehal, “A Survey of Text Mining Techniques and Applications”, Journal of Emerging Technologies in Web Intelligence, VOL. 1, NO. 1, 60-76, AUGUST 2009.
  11. G Erkan and Dragomir R. Radev, “LexRank: Graph-based Centrality as Salience in Text Summarization”, Journal of Artificial Intelligence Research, Re-search, Vol. 22, pp. 457-479 2004.
  12. Udo Hahn and Martin Romacker, “The SYNDIKATE text Knowledge base generator”, Proceedings of the first International conference on Human language technology research, Association for Computational Linguistics, ACM, Morristown, NJ, USA, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Automatic text summarization sentence extraction boost factor term weight

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