In this article, we will explore how we can use Llama2 for Topic Modeling without the need to pass every single document to the model. Instead, we will leverage BERTopic, a modular topic modeling technique that can use any LLM for fine-tuning topic representations.
Topic modelling refers to the task of identifying topics that best describes a set of documents. These topics will only emerge during the topic modelling process (therefore called latent). And one…
Working group for social relation and opinion mining
Research Group Social Computing
Department of Informatics
Technical University of Munich (TUM)
http://www.social.in.tum.de/ghagerer