| The Reuters-21578 benchmark corpus, ApteMod version | |
| This is a publically available version of the well-known Reuters-21578 | |
| "ApteMod" corpus for text categorization. It has been used in | |
| publications like these: | |
| * Yiming Yang and X. Liu. "A re-examination of text categorization | |
| methods". 1999. Proceedings of 22nd Annual International SIGIR. | |
| http://citeseer.nj.nec.com/yang99reexamination.html | |
| * Thorsten Joachims. "Text categorization with support vector | |
| machines: learning with many relevant features". 1998. Proceedings | |
| of ECML-98, 10th European Conference on Machine Learning. | |
| http://citeseer.nj.nec.com/joachims98text.html | |
| ApteMod is a collection of 10,788 documents from the Reuters financial | |
| newswire service, partitioned into a training set with 7769 documents | |
| and a test set with 3019 documents. The total size of the corpus is | |
| about 43 MB. It is also available for download from | |
| http://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html , | |
| which includes a more extensive history of the data revisions. | |
| The distribution of categories in the ApteMod corpus is highly skewed, | |
| with 36.7% of the documents in the most common category, and only | |
| 0.0185% (2 documents) in each of the five least common categories. | |
| In fact, the original data source is even more skewed---in creating | |
| the corpus, any categories that did not contain at least one document | |
| in the training set and one document in the test set were removed from | |
| the corpus by its original creator. | |
| In the ApteMod corpus, each document belongs to one or more | |
| categories. There are 90 categories in the corpus. The average | |
| number of categories per document is 1.235, and the average number of | |
| documents per category is about 148, or 1.37% of the corpus. | |
| -Ken Williams | |
| ken@mathforum.org | |
| Copyright & Notification | |
| (extracted from the README at the UCI address above) | |
| The copyright for the text of newswire articles and Reuters | |
| annotations in the Reuters-21578 collection resides with Reuters Ltd. | |
| Reuters Ltd. and Carnegie Group, Inc. have agreed to allow the free | |
| distribution of this data *for research purposes only*. | |
| If you publish results based on this data set, please acknowledge | |
| its use, refer to the data set by the name "Reuters-21578, | |
| Distribution 1.0", and inform your readers of the current location of | |
| the data set (see "Availability & Questions"). | |