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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| Format: | Thèse |
| Langue: | anglais anglais |
| Publié: |
2018
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| Accès en ligne: | 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 |
Internet
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.pdfhttp://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