TobiasLee/Text-Classification

Implementation of papers for text classification task on DBpedia

51
/ 100
Established

This project offers various cutting-edge text classification models, allowing you to categorize text documents efficiently. You feed in raw text data, and it outputs labels indicating the content's category. It's designed for data scientists or machine learning engineers who need to classify large volumes of text accurately.

735 stars. No commits in the last 6 months.

Use this if you are a data scientist or machine learning engineer prototyping or implementing text classification solutions and need access to various state-of-the-art model implementations.

Not ideal if you need a plug-and-play solution without writing code, or if you're not familiar with machine learning concepts and model training.

text analytics document categorization natural language processing machine learning data science
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

735

Forks

194

Language

Python

License

Apache-2.0

Last pushed

Oct 01, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/TobiasLee/Text-Classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.