Topic Analysis of Clothing Reviews with Embeddings

In the competitive world of e-commerce, understanding customer feedback is vital for business success. This project focuses on analyzing reviews from the Women's Clothing E-Commerce Reviews dataset. The challenge is to process and analyze text data, categorize feedback into themes, and perform semantic and similarity searches to gain deeper understanding of customer sentiments. The project will provide invaluable skills in data processing, natural language understanding, and leveraging AI for practical business applications.