Difference between revisions of "Reuters 21578"
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Latest revision as of 23:02, 25 September 2011
Citation
Reuters-21578, by D. Lewis, et al. In {{{booktitle}}}, 1987.
The Reuters 21578 dataset is used for text categorization classification, and consist of documents that appeared on the Reuters Newswire in 1987.
The dataset consists of 22 files: The first 21 files contain 1000 documents each, and the 22nd contains 578 documents. The formatting of the data is in SGML format.
The categories in this dataset come from five classes:
- Exchanges: financial exchanges, e.g., "nasdaq"
- Organizations: named entities of organizations, e.g., "GE"
- People: named entities of people, e.g. "Paul Volcker"
- Places: named entities of places, e.g., "Australia"
- Topics: economic subject categories, e.g., "coconut", "gold", "money supply"
Some more information on the distribution:
It is recommended to use the pre-specified training-test splits, i.e., either "ModLewis" split or "ModApte" split.
