Automated classification of bibliographic data using SVM and Naive Bayes
Classification of scientific bibliographic data is an important and increasingly more time-consuming task in a “publish or perish” paradigm where the number of scientific publications is steadily growing. Apart from being a resource-intensive endeavor, manual classification has also been shown to be...
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Format: | Others |
Language: | English |
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Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM)
2018
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75167 |