CryptoBERT is an open-weight transformer language model trained for cryptocurrency-related natural language processing. Developers and researchers can download and run it locally for tasks such as sentiment analysis, text classification, and market-related text analysis.
Cryptobert is a Classification & entity recognition project. It focuses on analyzing and classifying cryptocurrency-related text with a specialized language model. Cryptobert is an open-source project aimed at machine learning developers and cryptocurrency researchers. The project is open source (Open Source). It ships for the web, the command line, and API, and it can be self-hosted.
Behind Cryptobert is ElKulako. Among its 5 catalogued features are text classification, sentiment analysis, and transformer model.
Summary written by a language model from the project’s public pages.
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