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.showmostinformative_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

Submit an answer

You can type !ref in this text area to quickly search our full set of tutorials, documentation & marketplace offerings and insert the link!