svilupp/LLMTextAnalysis.jl

Effortlessly uncover and label thematic insights in large document collections using the power of Large Language Models and Julia Language

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Emerging

This tool helps researchers, marketers, or analysts quickly understand the main themes in large collections of text, like customer feedback or survey responses. You provide a list of documents, and it uses powerful language models to automatically identify, label, and visualize the key topics discussed across all your texts. This gives you a clear overview of the dominant ideas and allows you to explore sub-topics.

No commits in the last 6 months.

Use this if you need to extract and understand the primary topics and sub-topics from a large volume of unstructured text data without manually reading through everything.

Not ideal if you need to perform highly detailed, nuanced qualitative analysis on a small set of documents, or if you don't have access to a Large Language Model (LLM) service.

text analytics market research customer feedback analysis survey analysis qualitative data analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

41

Forks

3

Language

Julia

License

MIT

Last pushed

Feb 01, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/svilupp/LLMTextAnalysis.jl"

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