Text Summarization using Clustering Technique

Text Summarization using Clustering Technique

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-8                      
Year of Publication : 2013
Authors : Anjali R. Deshpande , Lobo L. M. R. J

Citation 

Anjali R. Deshpande , Lobo L. M. R. J. "Text Summarization using Clustering Technique". International Journal of Engineering Trends and Technology (IJETT). V4(8):3348-3351 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

As ummarization system consists of reduction of a text document to generate a new form which conveys the key meaning of the contained text. Due to the problem of information overload , access to sound and correctly - developed summaries is necessary. Text summarization is the most challenging task in information retrieval. Data reduction helps a user to find required information quickly without wasting time and effort in reading the whole document collection . This paper presents a combined approach to document and sentence clustering as an extractive technique of summarization.

References

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Keywords
Extractive Summarization, Abstractive Summ arization, Multi - document summarization, Document Clustering, Vector space model, Cosine similarity.