This repository contains my code solution to DeepLearning.AIs Practical Data Science On AWS Cloud Specialization.

This project classifies tweets as positive or negative using the Sentiment140 dataset and SageMaker’s BlazingText model. It includes data preprocessing, model training, and deployment for real-time predictions on AWS. Visualizations provide insights into sentiment and tweet characteristics.

Build end-to-end Data Science (NLP) project for Amazon's Product Review Sentiment Classification using AWS tools.

This is a demo for Amazon SageMaker build-in algo BlazingText on Chinese article title classification. BlazingText could apply to word2vec and text classification.