daniel-furman/awesome-chatgpt-prompts-clustering
Text clustering: HDBSCAN is probably all you need.
This project helps you automatically organize large sets of text, like user feedback or product prompts, into distinct groups based on common themes. You provide raw text data, and it outputs a breakdown of key topics, complete with summaries generated by an AI, highlighting the main ideas and their prevalence. This is useful for anyone who needs to understand the core subjects within a collection of text without manually reading through everything.
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Use this if you need to quickly identify and summarize the major topics and subtopics within a large text dataset, such as customer reviews, support tickets, or creative prompts.
Not ideal if your primary goal is to classify texts into predefined categories, rather than discovering underlying themes from scratch.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Sep 05, 2023
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