Extractive Multi-Document Text Summarization by Using Binary Particle Swarm Optimization

Abstract

The absence of a standard dataset and poor work for Hindi text summarization leads to develop a technique for better results.We have used a combination of Title feature, Sentence length, Sentence position, Numerical Data, Thematic word, Term frequency and Inverse Sentence Frequency for finding the results.Binary PSO is used for finding the optimal values of the features.