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...

詳細記述

書誌詳細

第一著者:	Salleh, Muhammad Sharilazlan
フォーマット:	学位論文
言語:	英語 英語
出版事項:	2018
主題:	Q Science (General) QA76 Computer software
オンライン･アクセス:	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