This repository contains the coding file and report file for performing sentiment analysis on Amazon review data. The goal of this project is to analyze customer sentiment across various product categories using machine learning and text analytics techniques.
With the increasing volume of online reviews, it has become crucial for businesses to understand customer sentiment to improve their products and services. This project focuses on analyzing Amazon review data to extract meaningful insights about customer sentiment.
The data set used for this project is about Kindle store on Amazon, sourced from the Amazon review data repository. It includes reviews (ratings, text, helpfulness votes) and product metadata (descriptions, category information, price, brand, and image features), which are linked by product ASIN number.
Data Sources: