SERVICE RESEARCH

Research on Users' Needs of Public Culture Cloud Activities Based on Online Comments

  • Wei Jingzhu ,
  • Cao Huizi ,
  • Zhang Lele
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  • School of Information Management, Sun Yat-sen University, Guangzhou 510006

Received date: 2021-11-08

  Revised date: 2022-02-08

  Online published: 2022-05-12

Abstract

[Purpose/Significance] Users are the final recipients of activity services on public culture cloud platforms. Analyzing users' needs for public culture cloud platform activities objectively according to users' online comments based on culture cloud activities, and optimizing the supply forms and contents of cultural activities according to the demand can improve the activity quality of public culture cloud platforms. [Method/Process] Taking online comments and messages from users of public culture cloud platform activities as data sources, and using the grounded theory for qualitative analysis, this study constructed the user need framework of public culture cloud platform activities. Furthermore, combined with sentiment analysis, users' emotional tendency towards the current need elements was calculated. [Result/Conclusion] Organizational needs, platform needs and activity needs are the external needs of users, personal needs of motivation to participate, event expectation and perceived value are the internal needs. To enhance the user sentiment recognition of culture cloud activities, suggestions for the optimization of public culture cloud platform activities are put forward from four aspects, so as to support the design and management decisions of activities on public culture cloud platform.

Cite this article

Wei Jingzhu , Cao Huizi , Zhang Lele . Research on Users' Needs of Public Culture Cloud Activities Based on Online Comments[J]. Library and Information Service, 2022 , 66(9) : 66 -73 . DOI: 10.13266/j.issn.0252-3116.2022.09.007

References

[1] 黄静.国内城市公共数字文化服务实践调查与发展分析[J].新世纪图书馆,2017(3):71-76.
[2] 陈则谦.我国文化云的服务现状及展望[J].图书情报知识,2018(5):62-71.
[3] 徐望.公共数字文化建设要求下的智慧文化服务体系建设研究[J].电子政务,2018(3):54-63.
[4] 李文川,陈承,胡雅文.公共数字文化云资源服务创新研究[J].图书馆,2017(2):18-23.
[5] 汤金羽,朱学芳.我国公共文化云微信公众平台服务效率评估[J].图书馆论坛,2019,39(9):127-134.
[6] WANYAN D,SHANG T.Application of cloud technology in digital cultural heritage:an analysis of public culture cloud platforms in China[J/OL].Digital library perspectives:1-15[2021-09-21].https://www.emerald.com/insight/2059-5816.htm.
[7] KATS P, MIELNICKI M, KNOTH P, et al. Design of Europeana cloud technical infrastructure[C]//IEEE/ACM Joint conference on digital libraries. London:IEEE, 2014:491-492.
[8] 韦景竹,张乐乐,王政,等.公共文化云机构用户信息共享行为和意愿研究[J].图书情报知识,2020(4):119-132.
[9] XIA H, CHEN T, HOU G. Study on collaboration intentions and behaviors of public participation in the inheritance of ICH based on an extended theory of planned behavior[J]. Sustainability, 2020, 12(11):4349-4364.
[10] 韦景竹,王元月.国家公共文化云平台用户满意度实证研究[J].情报资料工作,2020,41(4):30-38.
[11] 苗红,王艳,黄鲁成,等.基于结构主题模型的用户功能需求挖掘研究[J].情报杂志,2020,39(7):134-141.
[12] 李金海,何有世,马云蕾,等.基于在线评论信息挖掘的动态用户偏好模型构建[J].情报杂志,2016,35(9):192-198.
[13] 王欣研,张向先,张莉曼.学术APP用户在线评论主题语义关联研究[J].情报科学,2020,38(6):25-31.
[14] 贾丹萍,靳健,耿骞,等.感性工学视角下的用户需求挖掘研究[J].情报学报,2020,39(3):308-316.
[15] 赵静.基于用户需求的地市级公共图书馆服务提升策略的案例研究[D].天津:天津师范大学,2018.
[16] 陈忆金,潘沛,赵一鸣.基于KANO模型的高校图书馆用户健康信息服务需求研究[J].图书馆论坛,2020,40(12):117-126.
[17] 费小冬.扎根理论研究方法论:要素、研究程序和评判标准[J].公共行政评论, 2008(3):23-43,197.
[18] 涂海丽,唐晓波.基于在线评论的游客情感分析模型构建[J].现代情报,2016,36(4):70-77.
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