A machine learning framework for automated text categorization
This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text document...
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| Format: | Thesis |
| Language: | English English |
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Faculty of Computer Science and Information Technology
2001
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| Online Access: | http://ir.unimas.my/1697/ http://ir.unimas.my/1697/1/bong%2Bchih%2Bhow.pdf http://ir.unimas.my/1697/7/2013-02-thBongCHfull.pdf |
| Summary: | This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text documents such as conference papers tend to be rather heterogeneous having a rich structure with variable length documents where each category consists of a variable number of documents. |
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