Product Review Sentiment with Automl & BalzingText
Ikram Khan
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.
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Posted Aug 7, 2024
Product Review Sentiment analysis and prediction with Automl & BalzingText using Amazon Sagemaker
