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
Authors | Jiranantanagorn, Peerumporn and Shen, Haifeng |
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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. |
Keywords | backchannel; microblog; emotion; sentiment; morale; visualisation |
Year | 2016 |
Publisher | Association for Computing Machinery (ACM) |
Digital Object Identifier (DOI) | https://doi.org/10.1145/3010915.3010992 |
Publisher's version | File Access Level Controlled |
Book title | OzCHI '16: Proceedings of the 28th Australian Conference on Computer-Human Interaction |
Page range | 353 - 357 |
ISBN | 9781450346184 |
Research Group | Peter Faber Business School |
Place of publication | United States of America |
https://acuresearchbank.acu.edu.au/item/89793/sentiment-analysis-and-visualisation-in-a-backchannel-system
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