Automatic Extractive Text Summarization Based on Fuzzy Logic: A Sentence Oriented Approach

摘要

The work presents a method to perform automatic summarization of the text through sentence scoring. We propose a method which utilizes the facilities of fuzzy inference system for the purpose of scoring. Preprocessing of the text is done since this technique has its own importance enabling us to filter high quality text. A thorough review of the concepts of summarization enabled us to make use of a group of features which are very appropriate for automatic text summarization. Experimental results obtained by the proposed system on DUC 2002 data reveal that it works to the optimality with respect to other existing methods, and hence is a concrete solution to text summarization.