AUTOMATIC SUMMARIZATION OF TEXT-BASED DOCUMENTS ON CORPUS FOR GENERATING AN EFFECTIVE SUMMARY

Author (s) : S.Geetha and Dr.P.Periyasamy

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Abstract :
Mostly the traditional methods used the similarity between sentences in the document to extract most significant sentence. Indexing weights of the document terms are utilized to compute the sentence similarity value which remains insensitive on context. To avoid this problem, in our paper new technique lexical association and sensitive indexing weights are used. Lexical association between terms to give sensitive indexing weight to the document terms has been proposed. Lexical links are used to identify the important phrase in the sentence.  The fresh concept of indexing weight measure has been used with the graph-based ranking scheme which is used to create graph which generate sentence similarity and obtain most salient sentence for summary.

Keywords : Lexical association, Text summarization, Lexical link, Indexing weight, Ranking algorithm, Similarity sentence

Conference Date : 30/08/2019

Pages : 20

Paper ID : 19019