Label Sleuth is an open-source platform that allows users to annotate text data and build text classification models through a no-code, intuitive interface. It features active learning to optimize labeling efforts and supports integrated model training. Designed for domain experts and researchers, it streamlines the creation of NLP datasets and models without requiring programming skills.
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