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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gelbukh, A. Sidorov, G. Guzman-Arenas, A. |
| Copyright Year | 1999 |
| Description | Author affiliation: Center for Comput. Res., Nat. Polytech. Inst., Mexico City, Mexico (Gelbukh, A.) |
| Abstract | Given a large hierarchical dictionary of concepts, the task of selection of the concepts that describe the contents of a given document is considered. The problem consists in proper handling of the top-level concepts in the hierarchy. As a representation of the document, a histogram of the topics with their respective contribution in the document is used. The contribution is determined by comparison of the document with the "ideal" document for each topic in the dictionary. The "ideal" document for a concept is one that contains only the keywords belonging to this concept, in proportion to their occurrences in the training corpus. A fast algorithm of comparison for some types of metrics is proposed. The application of the method in a system classifier is discussed. |
| Starting Page | 73 |
| Ending Page | 80 |
| File Size | 109256 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769502687 |
| DOI | 10.1109/SPIRE.1999.796580 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-09-24 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dictionaries Natural languages Text mining Nominations and elections Laboratories Cities and towns Identity-based encryption Histograms Data mining Internet |
| Content Type | Text |
| Resource Type | Article |
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