By gmehta1996
I tried the sentiment analysis with the positive and negative tweets but I want to add more sentiments to it like sarcasm or neutral. I tried to add 5000 neutral tweets and followed the same procedure like positive and negative. If I do so can I get the ratio of all the three sentiments when I use the ‘classifier.show_most_informative_features(10)’ command . Currently I am getting ratios of neutral with either only positive or negative
following is the output:
Most Informative Features :( = True Negati : Neutra = 1864.7 : 1.0 :) = True Positi : Negati = 847.0 : 1.0 rt = True Neutra : Negati = 807.8 : 1.0 :d = True Positi : Neutra = 672.7 : 1.0 :-) = True Positi : Neutra = 215.0 : 1.0 … = True Neutra : Negati = 198.0 : 1.0 tory = True Neutra : Positi = 108.7 : 1.0 morning = True Positi : Neutra = 104.0 : 1.0 rather = True Neutra : Negati = 99.9 : 1.0 deal = True Neutra : Positi = 84.4 : 1.0
How do I compare all three together or If I add more sentiments how do I compare their ratios to each other
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