TopicGPT: A Prompt-based Topic Modeling Framework

arXiv:2311.01449v2 Announce Type: replace
Abstract: Topic modeling is a well-established technique for exploring text corpora. Conventional topic models (e.g., LDA) represent topics as bags of words that often require "reading the tea leaves" to interpret; additionally, they offer users minimal control over the formatting and specificity of resulting topics. To tackle these issues, we introduce TopicGPT, a prompt-based framework that uses large language models (LLMs) to uncover latent topics in a text collection. TopicGPT produces topics that align better with …

abstract arxiv control cs.cl framework lda modeling prompt reading specificity text topic modeling topics type words