Product Review Sentiment Analysis

The project focuses on performing comprehensive sentiment analysis on product reviews hosted on AWS. The following steps have been executed to ensure accurate and actionable insights:

Data Analysis and Bias Detection:

Carry out an in-depth analysis of the product review data to uncover patterns and detect any biases present in the dataset.

Utilize SageMaker Autopilot:

Employ Amazon SageMaker Autopilot to automatically explore data, select the best algorithm, and build machine learning models without extensive manual intervention.

Sentiment Prediction with BlazingText:

Utilize Amazon SageMaker’s built-in BlazingText algorithm to predict the sentiment of product reviews efficiently and accurately.

Model Deployment and Inference:

Deploy the trained sentiment analysis model to an endpoint in Amazon SageMaker, enabling real-time inference and predictions for incoming reviews.