Version 1
: Received: 24 May 2021 / Approved: 25 May 2021 / Online: 25 May 2021 (10:21:36 CEST)
How to cite:
Youm, D.; Kim, J. A Study on Ways to Improve Mobile RPG Using Big Data Text Mining. Preprints2021, 2021050601. https://doi.org/10.20944/preprints202105.0601.v1.
Youm, D.; Kim, J. A Study on Ways to Improve Mobile RPG Using Big Data Text Mining. Preprints 2021, 2021050601. https://doi.org/10.20944/preprints202105.0601.v1.
Cite as:
Youm, D.; Kim, J. A Study on Ways to Improve Mobile RPG Using Big Data Text Mining. Preprints2021, 2021050601. https://doi.org/10.20944/preprints202105.0601.v1.
Youm, D.; Kim, J. A Study on Ways to Improve Mobile RPG Using Big Data Text Mining. Preprints 2021, 2021050601. https://doi.org/10.20944/preprints202105.0601.v1.
Abstract
As RPG has high sales and profits, lots of developers have supplied various RPG to market but it changed to mass production type with sensational advertising, low quality and excessive charging and similar contents which affects game market and users’ game play experience. The author of this paper studied ways to improve mobile RPG by collecting and analyzing users’ reviews using crawling on Google Play Store. The author of this paper used topic modeling that uses text mining technique and LDA (Latent Dirichlet Allocation) to extract meaningful information from collected big data and visualized it. Inferring users’ reviews, figuring out opinions objectively and seeking ways to improve games are helpful in improving mobile RPG that can be played continuously.
Keywords
Mobile RPG; Big Data; Text Mining; Topic Modeling
Subject
MATHEMATICS & COMPUTER SCIENCE, Algebra & Number Theory
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
