Malay named entity recognition based on rule-based approach

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Title

Malay named entity recognition based on rule-based approach

Content partner

Lincoln University

Collection

Lincoln University Research Archive

Description

A Named-Entity Recognition (NER) is part of the process in Text Mining and it is a very useful process for information extraction. This NER tool can be used to assist user in identifying and detecting entities such as person, location or organization. However, different languages may have different morphologies and thus require different NER processes. For instance, an English NER process cannot be applied in processing Malay articles due to the different morphology used in different language...

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Format

Research Paper

Research format

Journal article

Date created

2014-06

Creator

Alfred, R / Leong, LC / On, CK / Anthony, Patricia

URL

https://hdl.handle.net/10182/7055

Related subjects

Information extraction / Malay named entity recognition / named entity recognition / rule-based / Information and Computing Sciences / Computer vision and multimedia computation / Data management and data science

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