TV Show Popularity Analysis Using Data Mining

TV reality shows are the ones that are seen in most of the channels these days. It may be related to singing, dancing, games etc. Such reality shows gain popularity through the TRP ratings. The TRP ratings will be increased based on the number of viewers for that particular TV shows. What if there is an application through which the popularity of the show can be classified based on the sentiments of the user? Yes, it is possible through the use of TV show popularity analysis using data mining application. This will be one of the interesting applications that one can work on.

People can rely on this application with great ease in order to know about the popularity of the TV shows. This will be one of the applications that the final year students can work on in real time world. The user interface will be simple and easy to understand. The features that can be included in the TV show popularity analysis using data mining application are as follows:

  • Comment analysis: The comments whether it is good or bad can be predicted through the use of this application.
  • Trending shows: Easy prediction of the trending shows can be obtained through this application.
  • Graphical representation: Graphical representation of the TV shows related to the analysis done can be given with great ease through this application.
  • Easy import and export: Through the use of this application import and export of the data will be easier without any difficulty.
  • Popular shows: The visitors will come to know about the popular shows with great ease.
  • Easy access: This application can be accessed anytime and anywhere from the world.
  • User friendly: This application will be user friendly since the user interface will be simple and easy to understand even by the common man. 
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