On machine learning methods for Chinese document classification

• Main Authors: HE, Ji, TAN, Ah-hwee, TAN, Chew-Lim
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2003
• Subjects: text categorization; machine learning; comparative experiments; Artificial Intelligence and Robotics; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5243; https://ink.library.smu.edu.sg/context/sis_research/article/6246/viewcontent/download__1_.pdf
• Institution: Singapore Management University

This paper reports our comparative evaluation of three machine learning methods, namely k Nearest Neighbor (kNN), Support Vector Machines (SVM), and Adaptive Resonance Associative Map (ARAM) for Chinese document categorization. Based on two Chinese corpora, a series of controlled experiments evaluat...