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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Bibliographic Details
Main Author: Salleh, Muhammad Sharilazlan
Format: Thesis
Language:English
English
Published: 2018
Subjects:
Q Science (General)
QA76 Computer software
Online Access: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.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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