rth/vtext

Simple NLP in Rust with Python bindings

41
/ 100
Emerging

This project helps data scientists and machine learning engineers prepare text data for analysis. It takes raw text inputs and efficiently converts them into structured numerical data, such as tokenized words, word stems, or numerical matrices representing word counts. This processed data is then ready for use in machine learning models to analyze patterns in language.

154 stars and 113 monthly downloads. No commits in the last 6 months.

Use this if you need a high-performance toolkit to quickly process large volumes of text data for natural language processing tasks.

Not ideal if you require a very broad range of advanced NLP functionalities beyond basic tokenization, stemming, and text vectorization.

data-preprocessing text-analytics machine-learning-engineering natural-language-processing information-retrieval
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 15 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

154

Forks

9

Language

Rust

License

Apache-2.0

Last pushed

Jul 06, 2023

Monthly downloads

113

Commits (30d)

0

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