| BERTopic: Neural topic modeling with a class-based TF-IDF procedure M Grootendorst arXiv preprint arXiv:2203.05794, 2022 | 164 | 2022 |
| BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics M Grootendorst Zenodo, Version v0 9, 2020 | 109 | 2020 |
| KeyBERT: Minimal keyword extraction with BERT M Grootendorst Zenodo, 2020 | 101 | 2020 |
| BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv 2022 M Grootendorst arXiv preprint arXiv:2203.05794, 0 | 17 | |
| Topic modeling with BERT M Grootendorst Medium, Oct 6, 2020 | 9 | 2020 |
| Keyword Extraction with BERT M Grootendorst 2020-10-28)[2022-05-11]. https://www. maartengrootendorst. com/blog/keybert, 2020 | 8 | 2020 |
| Validating your machine learning model M Grootendorst Towards Data Science, 2019 | 7 | 2019 |
| Distance Measures in Data Science M Grootendorst Towards data science, 9 | 7 | 9 |
| BERTopic M Grootendorst | 6 | 2021 |
| BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics, Zenodo M Grootendorst | 6 | 2020 |
| Beyond bag-of-concepts: vectors of locally aggregated concepts M Grootendorst, J Vanschoren Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 5 | 2020 |
| KeyBERT: Minimal keyword extraction with BERT. Zenodo (2020) M Grootendorst | 5 | |
