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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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      proceedings-article
      Author(s): ,
      Publication date (Print):
      Conference name: Electronic Visualisation and the Arts (EVA 2017) (EVA)
      Conference theme: Electronic Visualisation and the Arts
      Conference date: 11 – 13 July 2017
      Keywords: Text mining, Usability, Games industry, Graph theory
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            Abstract

            Content

            Author and article information

            Contributors
            Ken McGarry
            Sharon McDonald
            Conference
            Publication date: July 2017
            Publication date (Print): July 2017
            Pages: 1-7
            Affiliations
            [0001]University of Sunderland

            Sunderland, UK
            Article
            DOI: 10.14236/ewic/HCI2017.100
            SO-VID: c6f9968d-8b9b-42c0-a83c-ea7dd89f4b6c
            Copyright © © McGarry et al. Published by BCS Learning and Development. Proceedings of British HCI 2017 – Digital Make-Believe, Sunderland, UK.
            License:

            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/

            Conference name: Electronic Visualisation and the Arts (EVA 2017)
            Conference acronym: EVA
            Conference number:
            Conference location: London, UK
            Conference date: 11 – 13 July 2017
            Conference sponsor: Electronic Workshops in Computing (eWiC)
            Conference theme: Electronic Visualisation and the Arts
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.100
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Series title: Electronic Workshops in Computing

            ScienceOpen disciplines: Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Keywords: Text mining,Usability,Games industry,Graph theory

            reference

            1. 2017 RSentiment: A Tool to Extract Meaningful Insights from Textual Reviews 259 268 Springer Singapore

            2. 2008 Text mining infrastructure in r Journal of Statistical Software 25 1 1 54

            3. 1999 Untangling text data mining In Proceedings of ACL ’99: the 37th Annual Meeting of the Association for Computational Linguistics 126 136

            4. 2015 Sentiment analysis and feedback evaluation. In in 2015 IeEe 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE) 433–436

            5. 2003 Text mining techniques to automatically enrich a domain ontology Applied Intelligence 18 323 340

            6. 2002 Text mining with information extraction Text Mining with Information Extraction In Proc. AAAI 2002 Spring Symposium on Mining Answers from Texts and Knowledge Bases.

            7. 1993 Usability Engineering Academic Press Boston, USA.

            8. R Core Team 2015 R: A Language and Environment for Statistical Computing Vienna, Austria R Foundation for Statistical Computing.

            9. 2010 Educational data mining: a review of the state of the art IEEE Transactions on Systems, Man and Cybernetics. Part C Appl. Rev. 40 6 601 618

            10. UKI 2017 The games industry in numbers Association for UK Interactive Entertainment

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