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


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.


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.


[1] Vishal Gupta, Gurpreet Singh Lehal, “A Survey of Text Summarization Extractive Techniques”, JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE , vol. 2, no. 3, Aug. 2010.
[2] “Multi - document summarization”, Wikipedia, the free encyclopedia , 2012.
[3] A. Kogilavani, Dr.P.Balasubramani , “CLUSTERING AND FEATURE SPECIFIC SENTENCE EXTRACTION BASED SUMMARIZATION OF MULTIPLE DOCUMENTS”, International journal of computer science & information Technology , vol.2, no.4, Aug. 2010.
[4] Kamal Sarkar, “Sentence Clustering - based Summarization of Multipl e Text Documents”, TECHNIA – International Journal of Computing Science and Communication Technologies , vol. 2, no. 1, Jul. 2009.
[5] A. P. Siva kumar, Dr. P. Premchand and Dr. A. Govardhan, “Query - Based Summarizer Based on Similarity of Sentences and Word Fre quency”, International Journal of Data Mining & Knowledge Management Process , vol.1, no.3, May 2011.
[6] Aristoteles, Yeni Herdiyeni, Ahmad Ridha and Julio Adisantoso, “Text Feature Weighting for Summarization of Document in Bahasa Indonesia Using Genetic Algo rithm”, International Journal of Computer Science Issues , vol. 9, no. 3, May 2012.
[7] Khosrow Kaikhah, “Automatic Text Summarization with Neural Networks”, SECOND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS , J une 2004.
[8] Harshal J. Jain, M. S. Bewoor a nd S. H. Patil, “Context Sensitive Text Summarization Using K Means Clustering Algorithm”, International Journal of Soft Computing and Engineering ,volume - 2, no.2, May 2012.
[9] “Cosine similarity”, Wikipedia, the free encyclopedia , 2012.

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