Topic Modeling on Images? Why Not?!

But let’s call it Concept Modeling instead!

Maarten Grootendorst
Towards Data Science
7 min readNov 2, 2021

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Topic Modeling is a collection of techniques that allows the user to find topics in large amounts of data, unsupervised. It can be highly advantageous when trying to model and perform EDA on the content of those documents.

A while ago I created a Topic Modeling technique called BERTopic which leverages BERT embeddings and a class-based TF-IDF to create dense clusters allowing for easily interpretable topics.

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