[EXE] Determine which Naive Bayes algorithm is the Best to analyse Sentiment

[daretechie]

Learning Goals

• To know the best among the five Naive Bayes algorithms in analyzing the sentiment analysis Gaussian, Categorical, Complement etc

• The basics of NLP such as tokenizing and lemmatizing using the NLTK library

• The use of both TFIDF, CountVectorizer, Pipeline

Exercise Statement Provided a dataset of users' reviews of negative and positive classier, the model should be able to predict if a word or phrase is negative or positive.

Prerequisites nltk, sklearn

Data source/summary: The dataset contains a csv file consisting of amazon_cell reviews, yelp user reviews, and imdb review, and the typical responses they have

Suggest/Propose Solutions I have the solution and will be happy to create a pull request to include the exercise statement/solution]

[ruhi47]

Will take if still open, Thank you!