Author(s): Dipti D. Pawar, Prof. M. S. Bewoor, Dr. S. H. Patil
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.2 - Issue 12 (December - 2013)
World Wide Web today is a largest source of online- information. Great amount of information is present on internet in the form of web pages. There has been a huge amount of work on query specific summarization of documents using similarity measure. Indexing weights of the document terms are utilized to compute the sentence similarity value which remains independent on context. Very little work has been done for the problem of context independent document indexing for the text summarization task. The main contribution of this research work is to combine both approaches of Lexical association and context sensitive indexing. While doing so we have also used novel concept of Lexical association between terms to measure the similarity between sentences using computed indexing Weights. The proposed concept of sentence similarity measure has been used with the graph-based ranking method to create document graph and obtain summary of document.
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