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Khagendra-12/SentimentAnalysisForEConsultation

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BasicAnalysis:- Uses BERT to rate a comment on a scale of 1 to 5.
The 1 to 5 rating is further classified into 1-2.5 for negative, 2.5-3.5 for neutral and 3.5-5 for positive.
Each classifcation is further rated on a scale of 1 to 100 where 1 is low and 100 is high.
So a negative 100 is very negative and 100 positve is extremly positive.

PerCommentAnal:- Uses en_core_web_sm, a NLP model to split a pdf file into multiple comments and rate them each in the same format used in BasicAnalyis.

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