Analyzing amazon’s fine food reviews have positive or negative scores on an overall scale.
I have downloaded the amazon food reviews dataset from Kaggle.
Using Natural Language Processing model I have analyzed the dataset.
Project overview:-
-> Analyzing amazon’s fine food reviews have positive or negative scores on an overall scale.
-> This dataset consists of reviews of fine foods from amazon.
-> Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories.
Preprocessing of the dataset:
-> Tokenization
-> Removal of Punctuations
-> Removal of Stopwords
-> Splitting the data into negative and positive scores
-> Generating World clouds
Project Conclusion:
-> Sentimental Analysis of amazon food reviews and generating of positive and negative word clouds based on positive and negative scores. Positive scores are more than negative scores.
-> Overall concluded that amazon food reviews have positive scores and positive reviews.