pkargupta/taxoadapt
Dynamically constructs and adapts an LLM-generated taxonomy to a given corpus across multiple dimensions.
This tool helps researchers and academics organize large collections of research papers into structured, multi-dimensional taxonomies. It takes a corpus of scientific articles, such as conference proceedings or journal papers, and automatically generates detailed hierarchical categories that capture how research topics evolve over time. The output is a dynamic classification system that shows the relationships and sub-fields within a scientific domain.
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Use this if you need to create a detailed, adaptable taxonomy for a large collection of research papers to understand the structure and evolution of scientific fields.
Not ideal if you are looking to classify general text documents or if you require a simple, static keyword-based tagging system.
Stars
35
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 27, 2025
Commits (30d)
0
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