TEXUM – Hybrid news summarization mechanism with graph generation

Abstract

The news has become a most essential need of the current world. Due to the availability of smart technologies online news has become more popular among the users. But because of the large amount of news sources available online and the busy lifestyle of people, readers won’t be able to catch the important news within a short amount of the time period that they have. To address the above problem, a solution was made as “Hybrid news summarization mechanism with graph generation” which includes news summarization feature where a user can view related news articles and in a summarized manner and view most popular news within the current time. The uniqueness of the project is it follows a hybrid technique to summarize the news. The proposed system was evaluated by evaluators of various domains. Eventually, the feedback from different evaluators and the testing results attested that the analysis, design, implementation and documentation have been carried out in an effective and in an efficient manner.