Product Review Sentiment with Automl & BalzingText
Ikram Khan
Data Scientist
ML Engineer
AI Developer
AWS
Python
scikit-learn
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.
