onkarthorat/Amazon_Alexa_Sentiment_Analysis

This is the case study for sentiment analysis of various different models of Amazon Alexa. Different model were coded using the dummy variables. nltk was used. Corpus was built using PotterStemmer. Stopwords were removed. Thus, a bag of words model was built. Using this as n-d array or to be more specific a matrix, ML model was built using Random Forest Classifier.

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