Personalized sentiment classification based on latent individuality of microblog users

• Main Authors: SONG, Kaisong, FENG, Shi, GAO, Wei, WANG, Daling, YU, Ge, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4577; https://ink.library.smu.edu.sg/context/sis_research/article/5580/viewcontent/322.pdf
• Institution: Singapore Management University

Sentiment expression in microblog posts often reflects user’s specific individuality due to different language habit, personal character, opinion bias and so on. Existing sentiment classification algorithms largely ignore such latent personal distinctions among different microblog users. Meanwhile,...