Resources to compute TF-IDF weightings on press articles and tweets
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.
Resources
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Description |
Link |
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0 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-6610406 |
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0 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-6610406 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-6610406 |
Tags
- document-representation
- dataset
- document-tracking
- tf-idf