AN AUTOMATIC TEXT SUMMARIZATION USING LEXICAL COHESION AND CORRELATION OF SENTENCES

A.R.Kulkarni, S.S.Apte

Abstract: Due to substantial increase in the amount of information on the Internet, it has become extremely difficult to search for relevant documents needed by the users. To solve this problem, Text summarization is used which produces the summary of documents such that the summary contains important content of the document. This paper proposes a better approach for text summarization using lexical chaining and correlation of sentences. Lexical chains are created using Wordnet . The score of each Lexical chain is calculated based on keyword strength, Tf-idf & other features. The concept of using lexical chains helps to analyze the document semantically and the concept of correlation of sentences helps to consider the relation of sentence with preceding or succeeding sentence. This improves the quality of summary generated. In this paper we discuss a summarization method, which combines lexical chaining with correlation of sentences in which relation of a sentence with the preceding sentence is considered. Our experiments show that the inclusion of both these features improves the quality of summary generated.

Keywords: Text summarization, Wordnet, Correlation of sentences, Lexical chains

DOI: https://doi.org/10.15623/ijret.2014.0306053