Enhancing fuzzy based text summarization technique using genetic approach

Abstract

Automatic text summarization provides a solution to the problem of information overload. Summarization technique preserves important information while reducing the original document. This paper focuses on enhancing Fuzzy text summarization technique by Genetic approach. The Genetic approach is used for optimizing the feature set given to fuzzy system. The optimization is achieved on feature set by natural evolution. The optimized input features are entrusted to fuzzy system which concentrates on the membership function and fuzzy rules. The analysis is performed on documents related to Earth, Nature, Forest and Metadata. The comparative study shows that using genetic approach would improve recall and F-measure.