Facebook User Reactions And Emotion: An Analysis Of Their Relationships Among The Online Diabetes Community
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...
| Main Authors: | Balakrishnan, V., Govindan, V., Arshad, N.I., Shuib, L., Cachia, E. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30177 / |
| Published: |
Faculty of Computer Science and Information Technology
2019
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| 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/ |
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