{"push_id":1476449071,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"451eeb59a0a3909cda7ef76e5791b42ce6f9ecfc","before":"eb5a60824a0e480f85818fc89725b29fec7869bd","commits":[{"sha":"451eeb59a0a3909cda7ef76e5791b42ce6f9ecfc","author":{"name":"Krishna Teja V","email":"8ee4959d8e737f53b1730cfc531b3ea310e90c7a@gmail.com"},"message":"Add files via upload\n\nR program to calculate sentiment score of the entire mined tweet list by comparing each cleaned word to a list of positive and negative list of words. 1 = positive, 0 = neutral, -1 = negative. Sum of all scores is the overall sentiment.","distinct":true,"url":"https://api.github.com/repos/vmteja/socialnetworks/commits/451eeb59a0a3909cda7ef76e5791b42ce6f9ecfc"}]}
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