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      What Developers Want: Visualising game reviews analysis

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      proceedings-article
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      Publication date (Print):
      Conference name: Proceedings of EVA London 2024 (EVA 2024)
      Conference theme: Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.
      Conference date: 8–12 July 2024
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            Author and article information

            Contributors
            Xinge Tong
            Conference
            Publication date: July 2024
            Publication date (Print): July 2024
            Pages: 374-375
            Affiliations
            [0001]University of Hertfordshire

            College Lane Campus, Hatfield, UK
            [0002]
            Article
            DOI: 10.14236/ewic/EVA2024.77
            SO-VID: 7b11eeee-5195-4ab7-87ca-dc874bfffc5f
            Copyright © © Tong. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2024, 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: Proceedings of EVA London 2024
            Conference acronym: EVA 2024
            Conference number:
            Conference location: London
            Conference date: 8–12 July 2024
            Conference sponsor: Electronic Workshops in Computing (eWiC)
            Conference theme: Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2024.77
            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

            REFERENCES

            1. Grootendorst, M. (2022) ‘BERTopic: Neural topic modeling with a class-based TF-IDF procedure’. arXiv.

            2. Heimerl, F. et al. (2014) ‘Word Cloud Explorer: Text Analytics Based on Word Clouds’, in 2014 47th Hawaii International Conference on System Sciences. pp. 1833–1842.

            3. John, M. et al. (2018) ‘MultiCloud: Interactive Word Cloud Visualization for the Analysis of Multiple Texts’, in Proceedings of the 44th Graphics Interface Conference. Waterloo, CAN: Canadian, pp. 34–41.

            4. Kalyoncu, F. et al. (2018) ‘A Customer Complaint Analysis Tool for Mobile Network Operators’, in 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. pp. 609–612.

            5. Luck be a Landlord (2023) Steam [Video Game]. TrampolineTales.

            6. Raison, K. et al. (2012) ‘Extraction of User Opinions by Adjective-Context Co-clustering for Game Review Texts’, in H. Isahara and K. Kanzaki (eds) Advances in Natural Language Processing. Berlin, Heidelberg, pp. 289–299.

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