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Prathmesh Achyut Kestikar. News contextualization provides the users with general news as well as news about a particular requested topic, on a single page. This will help the users to know about any news topic on a single page and save the time required to search on different websites. Also the news provided will be provided from well-known and reliable news websites and hence will provide different perspectives about a single topic. Also, the feeds from social websites will help the users know about public response to a particular topic. News will be provided from specified number of news websites like The Times of India, NDTV, BBC News and The Economic Times. Also Videos from The Times of India and Tweets from twitter will be provided. This will help the users in gaining insight about public response for a particular news topic. The Facebook pages of news websites will be displayed. To display the news in a user friendly way, the page is divided in sections. Different sections are provided for different websites. The system involves use of PHP, AJAX, JavaScript, and JSON. Web scraping tools will be used for retrieving data from different news websites. APIs will be used for extracting data from social websites.

NEWS CONTEXTUALIZATION AND AGGREGATION, IMPLEMENTED USING A WEB APPLICATION SYSTEM.