Sentiment lexicons for health-related opinion mining

• Main Authors: Na, Jin-Cheon, Theng, Yin-Leng, Goeuriot, Lorraine, Min Kyaing, Wai Yan, Chang, Yun-Ke, Kim, Jung-jae, Khoo, Christopher S. G.
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• Online Access: https://hdl.handle.net/10356/107349; http://hdl.handle.net/10220/16673
• Institution: Nanyang Technological University

Opinion mining consists in extracting from a text opinions expressed by its author and their polarity. Lexical resources, such as polarized lexicons, are needed for this task. Opinion mining in the medical domain has not been well explored, partly because little credence is given to patients and the...