There are 4 repositories under text-labeling topic.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
Simplest and fastest image and text annotation tool.
Label data using HuggingFace's transformers and automatically get a prediction service
Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
Text labelling desktop application
For learning. Collecting techniques of each step from knowledge graph building processes.
🚀SpAnnor annotator for Named Entity Recognition easy to use tool. The annotator allows users to quickly assign custom labels to one or more entities in the text. Easy to setup for Data Training for SpaCy 🔥.
This project classifies BBC News articles into five topics—Sport, Business, Politics, Tech, and Entertainment—using Naïve Bayes, Random Forest, and SVM. Feature extraction with TF-IDF and Bag of Words improves topic classification efficiency for enhanced information management.