Facebook User Reactions And Emotion: An Analysis Of Their Relationships Among The Online Diabetes Community

• Main Authors: Balakrishnan, V., Govindan, V., Arshad, N.I., Shuib, L., Cachia, E.
• Format: Article
• Published: Faculty of Computer Science and Information Technology 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100495499&doi=10.22452%2fmjcs.sp2019no3.6&partnerID=40&md5=944dca5c23e0ca929fd5e6bec1a3cdea; http://eprints.utp.edu.my/30177/
• Institution: Universiti Teknologi Petronas

With the advent of Web 2.0 technologies such as social media, online text sources provide large scale data repositories out of which valuable knowledge about human emotions can be derived. This paper aims to (i) detect and classify emotions of the Facebook diabetes community, (ii) examine the relati...