amazon-science/text_generation_diffusion_llm_topic
Topic Embedding, Text Generation and Modeling using diffusion
This project helps researchers and data scientists analyze large collections of text, like news articles or scientific papers. It takes a dataset of text documents and identifies the underlying themes or subjects, providing a set of topics and text generated from them. This is useful for anyone who needs to understand the main ideas within a vast amount of written information.
No commits in the last 6 months.
Use this if you need to automatically discover topics in large text datasets and evaluate the quality of those topics.
Not ideal if you need a simple, out-of-the-box solution without any programming or data science expertise.
Stars
15
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
May 30, 2025
Commits (30d)
0
Get this data via API
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