# michelle123lam/lloom

<https://repo.masters-masters.com/en/repos/michelle123lam/lloom>

[Home](https://repo.masters-masters.com/en) › [michelle123lam](https://repo.masters-masters.com/en/owners/michelle123lam) › [lloom](https://repo.masters-masters.com/en/repos/michelle123lam/lloom)

michelle123lam/lloom has 169 stars on GitHub. Its RepoMasters card: Prototype tier. Concept Induction: Analyzing Unstructured Text with High-Level Concepts…

| Field | Value |
| --- | --- |
| Owner | [michelle123lam](https://repo.masters-masters.com/en/owners/michelle123lam) |
| Stars | 169 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [michelle123lam/lloom](https://github.com/michelle123lam/lloom) |

## Repository

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM (CHI 2024 paper). LLooM automatically surfaces high-level concepts to analyze unstructured text.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.