Resources to compute TF-IDF weightings on press articles and tweets

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Dataset information

Country of origin
Updated
2022.06.10 00:00
Created
2022.06.03
Available languages
English
Keywords
tf-idf, dataset, document tracking, document representation
Quality scoring

Dataset description

These two datasets of features are used in order to compute TF-IDF weightings of documents. It is meant to be used with the compute-tf-idf-vectors program written in Python and available on Pypi.org. - features_tweets.csv contains features (tokens, lemmas and entities) extracted from Tweets published by press agencies in french, german, spanish and english. - features_news.csv contains features (tokens, lemmas and entities) extracted from articles published by Deutsche Welle in the same languages.
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190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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