Kaggle Notebooks 2021 Topic Modelling with BERTopic | Applied NLP Tutorial
This Applied NLP Tutorial will teach you to do Topic Modelling using BERTopic - a topic modeling technique that leverages Hugging Face transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions.
This video will also teach you about Meta Kaggle Dataset and how to extract Notebooks (Kernel) dataset.
At the end of this project, we'll visualize the topics using interactive visualization of Intertopic Distance Map.
BERTopic is available as a Python library - https://github.com/MaartenGr/BERTopic
(Code used in the Video)
Kaggle Notebooks 2021 Topics Modelled using BERT - https://www.kaggle.com/nulldata/kaggl...
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