Intelligent News Recommender

Abdul Rehman Khan, 01-235151-001; Ahmed Raza Faraz, 01-235151-023

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dc.contributor.author	Abdul Rehman Khan, 01-235151-001
dc.contributor.author	Ahmed Raza Faraz, 01-235151-023
dc.date.accessioned	2019-03-15T06:05:58Z
dc.date.available	2019-03-15T06:05:58Z
dc.date.issued	2018
dc.identifier.uri	http://hdl.handle.net/123456789/8363
dc.description	Supervised By Ms. Anum Kaleem	en_US
dc.description.abstract	This project looks into the filed of machine learning algorithms and automated gathering of data without the intervention of any human in the form of manual insertion or searching of data. This project describes about analyzing the interests of users and providing them with the news of there interest, along with a detailed discussion of different approaches of representation like sentimental analysis of tweets, the scattered tweets about sports are categorized into genres accordingly. The goal of this project is to fetch user’s data on run time, analyze it and provide them with accurate news on the analyzed data from a news generating source of the current trends. This is made to be achieved by using Stanford Core N.L.P along with other software support. The aspects being explored and learned are the core skills and techniques that are required to achieve the desired goal	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS IT;MFN 8045
dc.subject	Computer science	en_US
dc.title	Intelligent News Recommender	en_US
dc.type	Thesis	en_US