toriving/text-classification-transformers
Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)
This tool helps you automatically categorize text, like customer reviews or social media posts, into predefined groups such as 'positive' or 'negative'. You provide your text data with example categories, and it processes this information to build a model that can then sort new, uncategorized text. This is designed for data analysts, marketers, or researchers who need to efficiently understand sentiment or topics across large volumes of text.
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Use this if you have existing text data labeled with categories and want to build a system to automatically categorize new text entries.
Not ideal if you need a solution that automatically discovers categories in your text without any initial labeled examples, or if your text classification needs are highly complex and require advanced model customization beyond common BERT-like architectures.
Stars
39
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 23, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/toriving/text-classification-transformers"
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