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Online TV Shows Rating

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dc.contributor.author Ahmad Izaz, 01-134142-008
dc.contributor.author Muhammad Ejaz, 01-134142-201
dc.date.accessioned 2018-08-02T11:15:39Z
dc.date.available 2018-08-02T11:15:39Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/7088
dc.description Supervised by Dr. Moneeb Gohar en_US
dc.description.abstract This report presents an overview of android application developed for the persons who are busy and cannot watch the audience favorite TV shows during the day. These shows repeat on specific channel at specific time but person don't remember the time and of course he/she doesn't know that either which one of the show is audience favorite. So our main aim is to help these kind of people who wants to see the latest audience favorite talk shows at the end of their day without any problem of finding either which one is favorite or not and what happened during the whole day. On the other perspective, this application also shrink the cost of acquiring the frequency monitor for recording the frequency of that explicit TV channel. The application is going to be used where you have an access to the Internet. Having a good internet speed is the very imperative factor for this application to work accurately because it will fetch data from several site. It works by fetching the comments of that days post and performing sentiment analysis to degree the TV shows and display you thelist of TV shows on the android application. This application would be done using the concept of Web Crawling, Sentiment Analysis and it would be Android based application using Java language. The tool for developing the Android Application is Android Studio. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-6717
dc.subject Computer science en_US
dc.title Online TV Shows Rating en_US
dc.type Project Reports en_US


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