Amazon Echo Reviews Sentiment Analysis Using NLP

In this hands-on project, we will predict customer sentiment using natural language processing techniques. In this project, we will build a machine learning model to analyze thousands of amazon echo reviews to predict customers sentiment. Artificial Intelligence and Machine Learning (AI/ML)-based sentiment analysis is crucial for companies to automatically predict whether their customers are happy or not. This project is practical and directly applicable to any company with that has online presence. The algorithm could be used automatically detect customers sentiment. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

• Project Overview
• In this hands-on project, we will train a Naive Bayes classifier model to perform reviews sentiment analysis. Natural language processing (NLP) works by converting words (text) into numbers, these numbers are then used to train an AI/ML model to make predictions. In this project, we will build a machine learning model to analyze thousands of reviews to predict customer’s sentiment towards Amazon Echo product. The algorithm could be used automatically understand the sentiment from public reviews, which could be used by companies to gain customer insights about their products and services.