# Grootendorst 2022: BERTopic: Neural topic modeling with a class-based TF-IDF procedure

> Maarten Grootendorst, 2022. 1 records on Mysteries Department cite it. The inductive-methods survey lists it among topic models to try on the…

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# BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Maarten Grootendorst, 2022. _arXiv_.

BERTopic, a topic-modelling method that clusters document embeddings from a transformer and names each cluster with a class-based TF-IDF.

**Voynich Manuscript** PreprintChecked against the original0

## What it's used for here

The inductive-methods survey lists it among topic models to try on the manuscript's pages.

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## Cite it

```
Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv. https://arxiv.org/abs/2203.05794
```

[Read it free at arxiv.org](https://arxiv.org/abs/2203.05794)

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