End to End Project - Semantic Analysis using Clustering

Welcome to the Semantic Analysis using Clustering project. In this project, we will perform a systematic assessment of a high-volume dataset containing thousands of audience reviews. The goal is to move beyond simple keyword searches and use machine learning to identify thematic trends, evaluate performance, and pinpoint "market gaps", specific audience needs that are currently unaddressed by mainstream content.

Skills you will develop:

• Semantic Clustering: Using Clustering to group data using embeddings rather than simple keywords.
• Finding Outliers: Using Euclidean Distance to locate outliers.
• Strategic Prompting: Translating abstract AI data into concrete product recommendations.