Crypto Headlines + NER Model
Named Entity Recognition Model trained on Crypto News from Newspapers
@kaggle.kaballa_cryptoner_ml_model
Named Entity Recognition Model trained on Crypto News from Newspapers
@kaggle.kaballa_cryptoner_ml_model
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.
CREATE TABLE articlesdata (
"unnamed_0" BIGINT -- Unnamed: 0,
"n__id" VARCHAR -- Id,
"id" BIGINT,
"domain" VARCHAR,
"source" VARCHAR,
"title" VARCHAR,
"date" VARCHAR,
"slug" VARCHAR,
"currencies" VARCHAR,
"url" VARCHAR,
"created_at" VARCHAR,
"language" VARCHAR
);Anyone who has the link will be able to view this.