Extracting common emotions from blogs based on fine-grained sentiment clustering

• Main Authors: FENG, Shi, WANG, Daling, YU, Ge, GAO, Wei, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Opinion mining; Sentiment analysis; PLSA; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/4551; https://ink.library.smu.edu.sg/context/sis_research/article/5554/viewcontent/Feng2011_Article_ExtractingCommonEmotionsFromBl.pdf
• Institution: Singapore Management University

Recently, blogs have emerged as the major platform for people to express their feelings and sentiments in the age of Web 2.0. The common emotions, which reflect people’s collective and overall sentiments, are becoming the major concern for governments, business companies and individual users. Differ...