I have always been fascinated by sports fans and about how they evaluated every point of events on a particular sports match and provide instant alternate strategies and suggestions that would've made the team win. This is a large untouched pool of data in our current circumstances. So I decided to tap on to it. How I did it ? Here it is.
Used Reddit as my primary social media data source to fan comments since they have more meaningful and content rich comments.
Used data mining algorithms like TF - IDF and K nearest neighbor to extract the key words mainly concentrated and spoken upon by the fans.
Performed sentiment analysis to extract fan emotions related to a particular event in the game.
Finally , combined all this data as the fan's perspective and sorted it for a sports team POV so as to improve their teams performance in future matches.
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