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      Computational methods for text mining user posts on a popular gaming forum for identifying user experience issues

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      Electronic Visualisation and the Arts (EVA 2017) (EVA)

      Electronic Visualisation and the Arts

      11 – 13 July 2017

      Text mining, Usability, Games industry, Graph theory

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          Abstract

          The advent of the social web such as twitter, facebook and the numerous social forums have provided a rich source of data representing human beliefs, social interactions and opinions that can be analysed. In this paper we show how extracting user sentiment by text mining posts from popular gaming forums can be used to identify user experience problems and issues that can adversely effect the enjoyment and gaming experience for the customers. The users posts are downloaded, preprocessed and parsed, we label the posts as negative, positive or neutral in terms of sentiment. We then identify key areas for game play improvement based on the frequency counts of keywords and key phrases used by the fora members. Furthermore, computational models based on complex network theory can rank the issues and provide knowledge about the relationships between them.

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          Most cited references 7

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          Educational Data Mining: A Review of the State of the Art

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            Usability Engineering

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              Untangling text data mining

               Marti Hearst (1999)
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                Author and article information

                Contributors
                Conference
                July 2017
                July 2017
                : 1-7
                Affiliations
                University of Sunderland

                Sunderland, UK
                Article
                10.14236/ewic/HCI2017.100
                © McGarry et al. Published by BCS Learning and Development. Proceedings of British HCI 2017 – Digital Make-Believe, Sunderland, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Electronic Visualisation and the Arts (EVA 2017)
                EVA
                London, UK
                11 – 13 July 2017
                Electronic Workshops in Computing (eWiC)
                Electronic Visualisation and the Arts
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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