LMU-Seminar-LLMs/TopicGPT

TopicGPT allows to integrate the benefits of LLMs into Topic Modelling

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Emerging

TopicGPT helps researchers, marketers, or analysts understand the main subjects within large collections of text, like customer feedback, research papers, or news articles. It takes your raw text documents and outputs clearly defined topics, complete with informative descriptions and relevant examples, allowing you to intuitively explore and manipulate these topics. This is ideal for anyone who needs to quickly grasp the core themes in unstructured text data without manually sifting through it.

No commits in the last 6 months.

Use this if you need to go beyond simple keyword lists to get rich, descriptive explanations of topics within your documents, and want to interact with these topics using natural language commands.

Not ideal if you prefer traditional, statistically-driven topic models that focus solely on top-word lists without AI-generated descriptions or interactive modifications.

text-analysis market-research content-categorization document-analysis qualitative-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

28

Forks

3

Language

Python

License

MIT

Last pushed

Jun 22, 2024

Commits (30d)

0

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