HKIB-20000 & HKIB-40075: Hangul Benchmark Collections for Text Categorization Research
نویسندگان
چکیده
منابع مشابه
HKIB-20000 & HKIB-40075: Hangul Benchmark Collections for Text Categorization Research
The HKIB, or Hankookilbo, test collections are two archives of Korean newswire stories manually categorized with semi-hierarchical or hierarchical category taxonomies. The base newswire stories were made available by the Hankook Ilbo (The Korea Daily) for research purposes. At first, Chungnam National University and KISTI collaborated to manually tag 40,075 news stories with categories by semi-...
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Reuters Corpus Volume I (RCV1) is an archive of over 800,000 manually categorized newswire stories recently made available by Reuters, Ltd. for research purposes. Use of this data for research on text categorization requires a detailed understanding of the real world constraints under which the data was produced. Drawing on interviews with Reuters personnel and access to Reuters documentation, ...
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Automatic text categorization requires the construction of appropriate surrogates for documents within a text collection. The surrogates, often called document vectors, are used to train learning systems for categorising unseen documents. A comparison of different measures (tfidf and weirdness) for creating document vectors is presented together with two different state-of-theart classifiers: s...
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Automatic Text Categorization (ATC), the automatic assignment of text documents to predefined classes, is a language engineering task very relevant to a number of applications, including automatic content and knowledge management in corporations and the Internet, information access and filtering, etc. With first works dating back to 60’s [14], and increased work in the last decade (see the surv...
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ژورنال
عنوان ژورنال: Journal of Computing Science and Engineering
سال: 2009
ISSN: 1976-4677
DOI: 10.5626/jcse.2009.3.3.165