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

• Main Author: Wan Muhammad Faisal, Wan Tamlikha
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak, (UNIMAS) 2015
• Subjects: T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/38981/1/WAN%20MUHAMMAD%20FAISAL%20%2824%20pgs%29.pdf; http://ir.unimas.my/id/eprint/38981/2/WAN%20MUHAMMAD%20FAISAL%20%28fulltext%29.pdf; http://ir.unimas.my/id/eprint/38981/

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...