Mining Diverse Views from Related Articles

author: Ravali Pochampally, International Institute of Information Technology Hyderabad
published: April 22, 2011,   recorded: March 2011,   views: 6617


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The world wide web allows for diverse articles to be available on a news event, product or any topic. It is not impossible to find a few hundred articles that discuss a specific topic thus making it difficult for a user to quickly process the information. Summarization condenses huge volume of information related to a topic but does not provide a delineation of the issues pertaining to it. We want to extract the diverse issues pertaining to a topic by mining views from a collection of articles related to it. A view is a set of sentences, related in content, that address an issue relevant to a topic. We present a framework for extraction and ranking of views and have conducted experiments to evaluate the framework.

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Reviews and comments:

Comment1 chetan jakkoju, December 17, 2011 at 6:38 a.m.:

Great Ravali.

Comment2 Randy E. Starkey, June 5, 2020 at 2:51 p.m.:

This is a very good info on web and most of the people doesn't know these facts behind about it. Before i have read some of it's theories on blog articles. But you have provided the best among all.

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