Abstract
Social media has exploded in its usage, since the advancement of technology with individuals sharing their opinions and beliefs on its platform through text. This has led to the access of tons of text data that researchers can use to further understand human behaviour or user perspective. Emotion analysis is a common text analysis technique used to discover embedded emotion in content. For this research, we compare emotion analysis and morality assessment techniques in discovering embedded user opinions. Our results show that emotion analysis possesses limitations in its result. On the other hand, morality assessment provides a more comprehensive and accurate analysis of text data. For this research, we proposed that both methodologies are not mutually exclusive, and can complement each other to better understand the complexities of human communication and behavior.
[Type][CrossLinking]The original version of this chapter was revised: the last author’s family name and e-mail address was corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-031-42141-9_21
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02 November 2023
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Acknowledgements
This research is funded in part by the U.S. National Science Foundation (OIA-1946391, OIA-1920920, IIS-1636933, ACI-1429160, and IIS-1110868), U.S. Office of the Under Secretary of Defense for Research and Engineering (FA9550-22-1-0332), U.S. Office of Naval Research (N00014-10-1-0091, N00014-14-1-0489, N00014-15-P-1187, N00014-16-1-2016, N00014-16-1-2412, N00014-17-1-2675, N00014-17-1-2605, N68335-19-C-0359, N00014-19-1-2336, N68335-20-C-0540, N00014-21-1-2121, N00014-21-1-2765, N00014-22-1-2318), U.S. Air Force Research Laboratory, U.S. Army Research Office (W911NF-20-1-0262, W911NF-16-1-0189, W911NF-23-1-0011), U.S. Defense Advanced Research Projects Agency (W31P4Q-17-C-0059), Arkansas Research Alliance, the Jerry L. Maulden/Entergy Endowment at the University of Arkansas at Little Rock, and the Australian Department of Defense Strategic Policy Grants Program (SPGP) (award number: 2020-106-094). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding organizations. The researchers gratefully acknowledge the support.
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Mbila-Uma, S., Umoga, I., Alassad, M., Agarwal, N. (2023). Conducting Morality and Emotion Analysis on Blog Discourse. In: Takada, H., Marutschke, D.M., Alvarez, C., Inoue, T., Hayashi, Y., Hernandez-Leo, D. (eds) Collaboration Technologies and Social Computing. CollabTech 2023. Lecture Notes in Computer Science, vol 14199. Springer, Cham. https://doi.org/10.1007/978-3-031-42141-9_15
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