基于文本挖掘和决策树分析的中国手游产业发展研究

doi:10.11896/JsJkx.190700124

计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 530-534.doi: 10.11896/JsJkx.190700124

• 数据库 & 大数据 & 数据科学 • 上一篇下一篇

基于文本挖掘和决策树分析的中国手游产业发展研究

朱涤尘¹, 夏换², 杨秀璋¹, 于小民², 张亚成¹, 武帅¹

1 贵州财经大学信息学院贵阳 550025;
2 贵州财经大学贵州省经济系统仿真重点实验室贵阳 550025

发布日期:2020-07-07
通讯作者: 夏换(66374769@qq.com)
基金资助:
贵州省教育厅青年科技人才成长项目(黔教合KY字172);贵州财经大学2019年度在校学生科研资助项目(2019ZXSY54)

Research on Mobile Game Industry Development in China Based on Text Mining and Decision Tree Analysis

ZHU Di-chen¹, XIA Huan², YANG Xiu-zhang¹, YU Xiao-min², ZHANG Ya-cheng¹ and WU Shuai¹

1 School of Information,Guizhou University of Finance and Economics,Guiyang 550025,China
2 Guizhou Key Laboratory of Economics System Simulation,Guizhou University of Finance and Economics,Guiyang 550025,China

Published:2020-07-07
About author:ZHU Di-chen, born in 1995, master.His main research direction is data analysis library information.
XIA Huan, doctor, professor.His main research direction is computer simulation big data analysis.
Supported by:
This work was supported by the Education department of Guizhou Province Youth Science and Technology Talent Development ProJect (qianJiaoheKYzi172) and Guizhou University of Finance and Economic 2019 Annual Student Research Assistance Program (2019ZXSY54).

摘要/Abstract

摘要： 针对中国传统的手游产业发展存在主题识别不精准,缺乏利用数据挖掘和可视化分析方法等问题,文中提出了一种基于文本挖掘和决策树(Desision Tree)分析的中国手游产业发展研究方法,从多方面分析了影响手游收入和热度的因素,从多个角度评估了手游产业的特性,研究其收入与可视化程度、游戏类型、文化背景和国际化指标的关系。文中采用Python语言进行了详细的实验,分析了开发厂商和所在地科技创新指数的关系,挖掘出智能化推荐热度和耐玩度较高的手游。实验结果表明,该算法具有一定的理论意义和研究价值,可以应用于手游市场分析、新游评测和手游推荐等领域,同时能优化中国手游产业市场,为手游市场的发展提供助力。

关键词: Python, 决策树分析, 数据分析, 文本挖掘, 中国手游市场

Abstract: In view of the problems of inaccurate theme identification,lack of using data mining and visualization analysis method in the development of traditional mobile game industry in China,this paper proposes a research method based on text mining and decision tree analysis for the development of China’s mobile game industry.It analyzes the factors that influence the revenue and popularity of mobile game from many aspects,evaluates the characteristics of the industry from multiple perspectives,and studies the relationship between its revenue and the degree of visualization,the types of games,cultural background and internationalization index.In this paper,a detailed experiment is conducted with Python language,and the relationship between the developer and the local science and technology innovation index is analyzed,so as to dig out the mobile game with high intelligent recommendation popularity and playability.The experimental results show that the proposed algorithm has certain theoretical significance and research value,and can be applied to fields of mobile game market analysis,mobile game evaluationrecommendation and so on.Meanwhile,it can optimize the mobile game industry market in China and promote its development.

Key words: Data analysis, Decision tree analysis, Mobile game market in China, Python, Text mining

中图分类号:

朱涤尘, 夏换, 杨秀璋, 于小民, 张亚成, 武帅. 基于文本挖掘和决策树分析的中国手游产业发展研究[J]. 计算机科学, 2020, 47(6A): 530-534. https://doi.org/10.11896/JsJkx.190700124

ZHU Di-chen, XIA Huan, YANG Xiu-zhang, YU Xiao-min, ZHANG Ya-cheng and WU Shuai. Research on Mobile Game Industry Development in China Based on Text Mining and Decision Tree Analysis[J]. Computer Science, 2020, 47(6A): 530-534. https://doi.org/10.11896/JsJkx.190700124

参考文献

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基于文本挖掘和决策树分析的中国手游产业发展研究

Research on Mobile Game Industry Development in China Based on Text Mining and Decision Tree Analysis

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