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    Sentiment analysis of student online interaction in a blended postgraduate programme

    Pham, Truman; Vo, Darcy; Lindsay, L.; Pashna, Mohsen; Li, F.; Baker, Karen; Han, Binglan; Rowley, Rich

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    TML_Sentiment_Analysis_SoTEL_2019_1_.pdf (633.3Kb)
    Date
    2019-02
    Citation:
    Pham, T., Vo, D., Lindsay, L., Li, F., Pashna, M., Baker, K., Han, B., & Rowley, R. (2019, February). Sentiment Analysis of Student Online Interaction in a Blended Postgraduate Programme. Paper presented at the Scholarship of Technology Enhanced Learning (SoTEL) 2019, Auckland, New Zealand.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/4604
    Abstract
    RESEARCH QUESTIONS: 1. To what extent do students interact online? 2. What are the sentiments in student online interaction? TML Blended Postgrad Programme Online interaction on G+ Community Sentiment analysis Google Natural Language Processing Research Methodology Data Collection and Analysis Overview of the collected data Results - Number of Posts and Comments Each Category Results - Monthly Posts and Comments Results - Monthly Average of Score and Magnitude of Posts and Comments Results - Box Plot for Sentiment Score in Each Category of G+ Community Results - Box Plot for Sentiment Magnitude in Each Category of G+ Community Discussion - What can we learn? Conclusion
    Keywords:
    blended learning, Mindlab by Unitec, student engagement, narrative analysis, sentiment analysis (SA), natural language processing
    ANZSRC Field of Research:
    130306 Educational Technology and Computing
    Copyright Holder:
    Authors
    Available Online at:
    https://sotel.nz/
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    © Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142