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An enhanced malay named entity recognition using clustering and classification approach for crime textual data analysis

Named Entity Recognition (NER) is one of the tasks undertaken in the information extraction. NER is used for extracting and classifying words or entities that belong to the proper noun category in text data such as the person's name, location, organization, date, etc. As seen in today's ge...

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书目详细资料
主要作者: Salleh, Muhammad Sharilazlan
格式: Thesis
语言:英语
英语
出版: 2018
主题:
Q Science (General)
QA76 Computer software
在线阅读:http://eprints.utem.edu.my/id/eprint/23326/1/An%20Enhanced%20Malay%20Named%20Entity%20Recognition%20Using%20Clustering%20and%20Classification%20Approach%20For%20Crime%20Textual%20Data%20Analysis.pdf
http://eprints.utem.edu.my/id/eprint/23326/2/An%20enhanced%20malay%20named%20entity%20recognition%20using%20clustering%20and%20classification%20approach%20for%20crime%20textual%20data%20analysis.pdf
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http://eprints.utem.edu.my/id/eprint/23326/1/An%20Enhanced%20Malay%20Named%20Entity%20Recognition%20Using%20Clustering%20and%20Classification%20Approach%20For%20Crime%20Textual%20Data%20Analysis.pdf
http://eprints.utem.edu.my/id/eprint/23326/2/An%20enhanced%20malay%20named%20entity%20recognition%20using%20clustering%20and%20classification%20approach%20for%20crime%20textual%20data%20analysis.pdf

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