Effectiveness of simple linguistic processing in automatic sentiment classification of product reviews

• Main Authors: Zhou, Yunyun, Khoo, Christopher S. G., Na, Jin-Cheon, Sui, Haiyang, Chan, Syin
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: Communication and Information
• Online Access: https://hdl.handle.net/10356/101094; http://hdl.handle.net/10220/20045; http://www.ergon-verlag.de/bibliotheks--informationswissenschaft/advances-in-knowledge-organization/band-9.php
• Institution: Nanyang Technological University

This paper reports a study in automatic sentiment classification, i.e., automatically classifying documents as expressing positive or negative sentiments/opinions. The study investigates the effectiveness of using SVM (Support Vector Machine) on various text features to classify product reviews i...