An online news event summarization system.

Abstract

The massive quantity of data available today in the Internet has reached such a huge volume that it has become humanly unfeasible to efficiently sieve useful information from it. With the advent of connected computing devices, we are being presented with a barrage of information every minute. This makes it increasingly important to consume as much information as possible in the least amount of time, while eliminating irrelevant and redundant data. News is one major domain which falls prey to this information overload. With the emergence of lightning-fast news delivery through the various News Sources. This project is aimed at developing a summarization system to generate abstracts of original news articles.