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Crypto Headlines + NER Model

@kaggle.kaballa_cryptoner_ml_model

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Named Entity Recognition Model trained on Crypto News from Newspapers

Over 26,000 headlines from dozens of different newspapers about blockchain and cryptocurrency-related topics.
The .csv file includes data about all articles. Sort language column by "en" or "de" to filter.

The dataset also contains .spacy files with labelled data to train a named entity recognition model with the entities: Person, Organisation and Cryptocurrencies.


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