A Systematic Framework for Sentiment Identification by Modeling User Social Effects

• Published in: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Vol. 2; pp. 172 - 179
• Main Authors: Zhang, Kunpeng, Yang, Yi, Sun, Aaron, Liu, Hengchang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2014
• Subjects: Collaboration; collaborative filtering; Educational institutions; Facebook; Media; Message systems; Motion pictures; peer influence; Sentiment; social effects; Twitter

Social media is becoming a major and popular technological platform that allows users to express personal opinions toward the subjects with shared interests. Identifying the sentiments of these social media data can help users make informed decisions. Existing research mainly focus on developing alg...