How I Used BERTopic for Topic Modeling on Real News Data
Автор: Ajay Tom
Загружено: 2025-04-18
Просмотров: 673
📚 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!
#BERTopic #NLP #TopicModeling #MachineLearning #TextMining #HuggingFace #BERT #Python
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