Comprehend-it

Comprehend-it

Categorize, analyze sentiment, or assign any tags to text

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Next-generation open-source text classification model built for zero-shot and multi-label categorization with advanced generalization capabilities. KEY FEATURES: - Multi-label classification - 100K token capacity - Multilingual support - Supports zero-shot and few-shot learning - Provides logical reasoning for classification outputs - 184K model size Download a model to fine-tune and run it on your machine, or use it via our API - Open-source model(Apache 2.0) - API
Next-Generation Text Classification gallery image
Next-Generation Text Classification gallery image
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Launch tags:API•Artificial Intelligence•Data & Analytics
Launch Team
Intercom
Intercom
Startups get 90% off Intercom + 1 year of Fin AI Agent free
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What do you think? …

Knowledgator Engineering
Maker
📌
What use cases do you envision for text classification in your industry? To spark some ideas, here are some top case studies we've already tackled: - customer sentiment analysis, - user intention definition, - scientific literature review, - product categorization, - data collection for market research, - content moderation, - spam detection, - lead qualification, - real estate categorization. And don't forget to visit our AI Playground for a hands-on experience with Comprehend-it. It's a great way to see our API in action, no registration is required. We're excited to see what you'll create! https://playground.knowledgator....
Prateek
Congrats team Comprehend-it on your launch.
Knowledgator Engineering
Maker
@prateekgg Thank you!