Improvement of Text Summarization using Fuzzy Logic Based Method

Automatic text summarization is undergoing wide research and gaining importance as the availability of online information is increasing. Automatic text summarization is to compress the larger original text into shorter text called as summary. Abstraction and Extraction are the two main methods to carry out text summarization. Our approach uses extractive method. Summarization by extraction involves identifying important features and extracting sentences based on their scores. 30 documents from news based URLs are used as input. After preprocessing the input document, eight features are used to calculate their score for each sentence. In this paper fuzzy logic method is proposed for improvement in the extraction of summary sentences.