Key feature extraction and machine learning-based automatic text summarization

Abstract

Text summarization is the way to produce important sentence from the original set of sentences. Summary of text sentences can be created in many ways and means, and various methods are being developed. Automatic mechanism can create a logical summary using parameters like text syntax, style and length. In this paper, the proposed approach is independent summarizer which is generalized and can work for any text domain. Some of the major domains are used for the benchmark testing of the system such as sports, business, education, Twitter article, medical.