Extractive text summarization using enhanced latent semantic analysis

Abstract

The idea behind this project comes from the need of speedy, e ective and e cient system demands of the user. The motive behind text summarization is to compress prolonged data. The summary thus produced gives the objective of the entire doc ument in fewer sentences. On point results simpli es the process and makes it more captivating for the user. This project deals with Extractive Text summarization using Enhanced Latent Semantic Analysis. The algorithm is evaluated in English document and is compared with the summarization of human evaluators.