390
views
0
recommends
+1 Recommend
1 collections
    8
    shares
       
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

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

      proceedings-article

      ,

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

      Electronic Visualisation and the Arts

      11 – 13 July 2017

      Text mining, Usability, Games industry, Graph theory

      Bookmark

            Content

            Author and article information

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

            Sunderland, UK
            Article
            10.14236/ewic/HCI2017.100
            c6f9968d-8b9b-42c0-a83c-ea7dd89f4b6c
            © 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

            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

            Comments

            Comment on this article