BERTopic: Topic Modeling by Combining the Old with the New
Автор: John Snow Labs – Healthcare AI Company
Загружено: 2022-11-04
Просмотров: 2717
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Presented by Maarten Grootendorst, Data Scientist at IKNL and Creator of BERTopic, PolyFuzz, and KeyBERT at IKNL
In this talk, Maarten will introduce BERTopic, a package for topic modeling that combines classical techniques with recent developments in large language models, clustering techniques, and dimensionality reduction.
Next, he will share a brief overview of the underlying theory, algorithms, and philosophy of BERTopic.
Finally, he will focus on concrete examples of how BERTopic can be used to model topics across large numbers of documents. Its main features will be discussed along with the pros and cons of using such a package. Other packages developed by Maarten will also briefly make an appearance.
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