How I Used BERTopic for Topic Modeling on Real News Data

Описание: 📚 In this video, I’ll show you how I used BERTopic for topic modeling on real news data pulled from the Hugging Face 🤗 Datasets library.
Using powerful transformer-based embeddings (all-MiniLM-L6-v2) and the BERTopic library, we uncover hidden themes and insights from CNN articles. Perfect for anyone interested in NLP, text mining, or machine learning!

🔍 What you'll learn:

What is BERTopic and how it works?

How to load news data using Hugging Face DatasetDict?

How transformer-based embeddings power topic modeling?

How to visualize, interpret, and refine topics?

🛠️ Tech stack used:

Python

BERTopic

Sentence Transformers

🎯 Whether you're a data scientist, NLP enthusiast, or just curious about how AI can find meaning in massive text corpora — this one’s for you.

👇 Drop your questions or results in the comments. Let’s talk topics!

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