TopicNet/Reuters
Reuters The Reuters Corpus contains 10,788 news documents totaling 1.3 million words. The documents have been classified into 90 topics, and grouped into two sets, called "training" and "test"; thus, the text with fileid 'test/14826' is a document drawn from the test set. This split is for training and testing algorithms that automatically detect the topic of a document, as we will see in chap-data-intensive. Language: English Number of topics: 90 Number of… See the full description on the dataset page: https://huggingface.co/datasets/TopicNet/Reuters.
Reuters
The Reuters Corpus contains 10,788 news documents totaling 1.3 million words. The documents have been classified into 90 topics, and grouped into two sets, called "training" and "test"; thus, the text with fileid 'test/14826' is a document drawn from the test set. This split is for training and testing algorithms that automatically detect the topic of a document, as we will see in chap-data-intensive.
- Language: English
- Number of topics: 90
- Number of articles: ~10.000
- Year: 2000
References
- NLTK datasets: https://www.nltk.org/book/ch02.html.
- Dataset site: https://trec.nist.gov/data/reuters/reuters.html.