rohitg57 / amazon-food-review

This is a sentiment analysis project based on pretrained modules like TextBlob and VADER on Amazon_Food_Reviews dataset.

• Context

This dataset consists of reviews of fine foods from amazon.

The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012.

Reviews include product and user information, ratings, and a plain text review.

It also includes reviews from all other Amazon categories.

• source: https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews

• Data includes:

Reviews from Oct 1999 - Oct 2012

568,454 reviews

256,059 users

74,258 products

260 users with > 50 reviews

• Problem Statement

You have to find the overall sentiment of population based on text reviews of customers using pretrained module like TextBlob and VADER.