Identify Trending Machine Learning Topics in Science With Topic Modeling

Author(s): Konstantin Rink

Originally published on Towards AI.

Using BERTopic to identify the most important ML topics

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Topic modeling has become a popular technique in the field of Machine Learning (ML), particularly in the area of Natural Language Processing (NLP). This article shows how to leverage topic modeling to identify trending ML topics in science.

Since 2022 has just passed, let’s use this opportunity to apply topic modeling on publication metadata from 2022 to see how well trending ML topics in science can be identified. To check if the results are reasonable, the top 4 identified topics are compared with the topics… Read the full blog for free on Medium.

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Published via Towards AI