Topic Modelling with BERTopic - Applied NLP Tutorial
Offered By: 1littlecoder via YouTube
Course Description
Overview
Learn topic modelling using BERTopic in this applied NLP tutorial video. Explore the Meta Kaggle Dataset and extract Notebooks data while leveraging Hugging Face transformers and c-TF-IDF to create dense clusters for interpretable topics. Discover how to visualize results with an interactive Intertopic Distance Map. Cover key concepts including data filtering, embedding models, probability calculation, and various visualization options. Gain hands-on experience with the BERTopic Python library and apply these techniques to analyze Kaggle Notebooks from 2021.
Syllabus
Introduction
About BERTopic
Filter Data
Input Data
Embedding Models
Calculating Probability
Topic Modelling
Topic Info
Interactive Topic Modelling
Other Visualization Options
Taught by
1littlecoder
Related Courses
Intro to StatisticsStanford University via Udacity Introduction to Data Science
University of Washington via Coursera Passion Driven Statistics
Wesleyan University via Coursera Information Visualization
Indiana University via Independent DCO042 - Python For Informatics
University of Michigan via Independent