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sentiment Analysis solution

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  The  AFINN LEXION   is perhaps one of the simplest and most popular lexicons that can be used extensively for sentiment analysis.  The current version of the lexicon is  AFINN-en-165. txt,  and it contains over 3,300+ words with a polarity score associated with each word. You can find this lexicon at the author’s  official GitHub repository . SENTIWORDNET LEXION:  SENTIWORDNET is the result of the automatic annotation of all the synsets of WORDNET according to the notions of “positivity”, “negativity”, and “neutrality”.  here AFINN accuracy is 71.18 % and f1 score is 74.68 In the above picture, you can see Sentinetword  accuracy is 68.43 %, and f1 score 70.27% as you can see Vader accuracy  is 71.07 % and f1 score is 74.21  so my conclusion is that AIFNN is the best  Sentiment Analysis using supervised learning  I got an Accuracy 89.73 precision 88.56 recall 91.29 and f1 score by using supervised machine learning as compared to AFINN accuracy is 71.18 % and f1 score is 74.68. So supe