News classification with human annotators: A case study
The need to classify textual documents has become an increasingly vibrant research field due to the development of online news. While most of the news in news websites are categorised manually, the task becomes more strenuous considering the tremendous surge of data updates every day. This paper add...
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| Format: | Article |
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Penerbit UTM Press
2015
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84932612791&doi=10.11113%2fjt.v74.4829&partnerID=40&md5=fd48188f8c7af2463936f05ad866bf70 http://eprints.utp.edu.my/31406/ |
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