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Intro
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In this video
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BERTopic Getting Started
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BERTopic Components
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Transformer Embedding
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Dimensionality Reduction
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UMAP
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Clustering
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c-TF-IDF
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Custom BERTopic
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Final Thoughts
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

BERTopic Explained

James Briggs
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