rwalk/gsdmm-rust

GSDMM: Short text clustering (Rust implementation)

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This tool helps organize short pieces of text, like social media posts, product reviews, or survey responses, into meaningful groups. You provide a list of short texts and a vocabulary, and it outputs files showing which texts belong to which group, the key words for each group, and the probability of each text belonging to each group. This is ideal for analysts, marketers, or researchers who need to quickly make sense of large volumes of unstructured short text.

No commits in the last 6 months.

Use this if you need to automatically categorize many short text documents without knowing the exact number of categories beforehand.

Not ideal if you're working with very long documents or if you need to classify documents into predefined, known categories.

text-analysis market-research social-media-listening customer-feedback survey-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

24

Forks

8

Language

Rust

License

MIT

Last pushed

Apr 26, 2023

Commits (30d)

0

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