Difference between revisions of "Reuters 21578"
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Revision as of 23:54, 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:
Number of Number of Categories Number of Categories
Category Set Categories w/ 1+ Occurrences w/ 20+ Occurrences
EXCHANGES 39 32 7 ORGS 56 32 9 PEOPLE 267 114 15 PLACES 175 147 60 TOPICS 135 120 57
It is recommended to use the pre-split training-test splits, i.e., either "ModLewis" split or "ModApte" split.
