Comparing naive bayes and support vector machines on Sarawak gazette named entity recognition

This paper presents the report of Final Year Project 2 Comparing Naive Bayes and Support Vector Machines on Sarawak Gazette Named Entity Recognition. The need to annotate automatically the Sarawak Gazette is essential to allow the SAGA searchable through Named Entities (NEs). Hence, this paper obje...

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Bibliographic Details
Main Author: Wan Muhammad Faisal, Wan Tamlikha
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2015
Subjects:
Online Access:http://ir.unimas.my/id/eprint/38981/1/WAN%20MUHAMMAD%20FAISAL%20%2824%20pgs%29.pdf
http://ir.unimas.my/id/eprint/38981/4/Wan%20M%20Faisal%20ft.pdf
http://ir.unimas.my/id/eprint/38981/
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