Sentiment analysis and visualisation in a backchannel system

Peerumporn Jiranantanagorn, Haifeng Shen

    Research output: Contribution to conferencePaperpeer-review

    2 Citations (Scopus)

    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.

    Original languageEnglish
    Pages353-357
    Number of pages5
    DOIs
    Publication statusPublished - 2016
    EventThe 28th Australian Conference on Computer-Human Interaction -
    Duration: 29 Nov 2016 → …

    Conference

    ConferenceThe 28th Australian Conference on Computer-Human Interaction
    Period29/11/16 → …

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