BERTopic Explained

Explore the advanced topic modeling technique BERTopic in this comprehensive 45-minute video tutorial. Learn how transformer models, UMAP, and HDBSCAN combine to organize unstructured text data efficiently. Dive into the components of BERTopic, including transformer embedding, dimensionality reduction, clustering, and c-TF-IDF. Discover how to get started with BERTopic, customize it for specific needs, and understand its potential in processing large amounts of textual information. Gain insights into the challenges of unstructured data and how BERTopic leverages machine learning to overcome them, making text organization more accessible and meaningful in today's information age.

Intro
In this video
BERTopic Getting Started
BERTopic Components
Transformer Embedding
Dimensionality Reduction
UMAP
Clustering
c-TF-IDF
Custom BERTopic
Final Thoughts