Natural Language Processing for Sentiment Analysis of Amazon Reviews

Business Objective: To gain insights into customer opinions and sentiments about products and services sold on Amazon.

Approach: Amazon reviews dataset is collected from kaggle. It uses machine learning techniques to classify the sentiment of each review as positive, negative. 86% accuracy score was obtained.

Tools Used: NLTK, Gensim, Scikit-learn, TensorFlow.