Abstract
AbstractThere exist various news providing Web applications (e.g., Hindustan Times, Aninews, Beebom, etc.) that provide news articles of various domains (like technology, sports, business, etc.) to the user. However, in today’s world of busy life, one may not get enough time to go through different news Web sites to read various long news articles. This paper provides an approach to construct a Web-based platform for the users where a user can get daily news from different news Web sites that belong to various domains at a single place only and also in a very concise manner. Moreover, the user can select news categories and the news Web sites from which he or she wants news from. For example: One may want to get news articles that are only related to sports and technology and that too from ANI News and Beebom news Web sites. This paper proposes an idea of creating a platform that ensures customized and concise news feed for the user.KeywordsWeb scrappingPersonalized newsInformation retrievalText summarizationNatural language processing
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