lpq29743/text_classification

Text classification models (including traditional machine learning methods and deep learning methods)

35
/ 100
Emerging

This is a tool for developers who need to categorize or tag unstructured text data automatically. You can feed it raw text documents, and it will output classification predictions using a variety of machine learning and deep learning models. It's designed for machine learning engineers or data scientists building text-based applications.

No commits in the last 6 months.

Use this if you are a developer tasked with implementing a text classification solution and need to quickly compare different model performances, from traditional methods to deep learning.

Not ideal if you are looking for a plug-and-play application to classify documents without writing any code or if you need the very latest large language model (LLM) architectures like BERT or Transformers out-of-the-box.

natural-language-processing machine-learning-engineering text-analytics data-science
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

8

Forks

4

Language

Python

License

MIT

Last pushed

May 05, 2020

Commits (30d)

0

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