Marathi e-Newspaper Text Summarization Using Automatic Keyword Extraction Technique

Abstract

In today’s world, Time is of essence and no one wants to waste their time not even on knowing what is
happening around him. most used and reliable way to forward news is newspaper until television was invented. no one
wants to read a half page article describing whole event of any incident happened around them. Everyone wants that
everything around them should be as fast as possible. So how can we make newspaper articles as small as possible and
easy to read and understand. Summarization is the process of minimizing the text content from a larger text document
and displaying only the information which is most important. The intention of text summarization is to express the
content of a document in a condensed form that meets the needs of the user. Most extractive summarization techniques
revolve around the concept of finding keywords and extracting sentences that have more keywords than the rest.
Keyword extraction usually is done by extracting relevant words having a higher frequency than others. Manual
extraction or annotation of keywords is a tedious process brimming with errors involving lots of manual effort and time.
In this paper, we proposed an algorithm to extract keyword automatically for text summarization in e-newspaper
articles.