Sentiment analysis and visualisation in a backchannel system

Conference item

Jiranantanagorn, Peerumporn and Shen, Haifeng. (2016). Sentiment analysis and visualisation in a backchannel system. OzCHI '16: The 28th Australian Conference on Computer-Human Interaction, Launceston, Tasmania, Australia - November 29 - December 02, 2016. United States of America: Association for Computing Machinery (ACM). pp. 353 - 357 https://doi.org/10.1145/3010915.3010992
AuthorsJiranantanagorn, Peerumporn and Shen, Haifeng
Abstract

Digital backchannel systems have been proven useful to help a lecturer gather real-time online feedback from students in a lecture environment. However, the large number of posts made during a lecture creates a major hurdle for the lecturer to promptly analyse them and take actions accordingly in time. To tackle this problem, we propose a solution that analyses the sentiment of students' feedback and visualises the morale trend of the student population to the lecturer in real time. In this paper, we present the user interface for morale visualisation and playback of ranked posts as well as the techniques for sentiment analysis and morale computation.

Keywordsbackchannel; microblog; emotion; sentiment; morale; visualisation
Year2016
PublisherAssociation for Computing Machinery (ACM)
Digital Object Identifier (DOI)https://doi.org/10.1145/3010915.3010992
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File Access Level
Controlled
Book titleOzCHI '16: Proceedings of the 28th Australian Conference on Computer-Human Interaction
Page range353 - 357
ISBN9781450346184
Research GroupPeter Faber Business School
Place of publicationUnited States of America
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