Fine-grained sentiment analysis of social media with emotion sensing

• Main Authors: WANG, Zhaoxia, CHONG, Chee Seng, LAN, Landy, YANG, Yinping, HO, Beng-Seng, TONG, Joo Chuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: opinion mining; sentiment analysis; sentiment classification; social adaptive fuzzy similarity; social media; emotion; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/5487; https://ink.library.smu.edu.sg/context/sis_research/article/6490/viewcontent/Fine_grainedsentimentanalysis_Socialmedia_Emotionsensing_av.pdf
• Institution: Singapore Management University

Social media is arguably the richest source of human generated text input. Opinions, feedbacks and critiques provided by internet users reflect attitudes and sentiments towards certain topics, products, or services. The sheer volume of such information makes it effectively impossible for any group o...