This paper uses the methods of LDA theme recognition and SonwNLP sentiment analysis to conduct on topic extraction and sentiment analysis in tourist's online reviews of museums in five autonomous regions. The conclusion is as follows: 1) Tourists' emotions towards the five museums in five autonomous regions were positive on the whole,and they had a high degree of recognition and satisfaction towards the five museums. They were most concerned about the exhibits which showed the local history and culture,and were interested in the collections of "the Beauty of Loulan" and "dinosaurs". 2) According to the analysis results of high-frequency words,the rank of the number of valid comments by visitors to the five museums was Xinjiang Uygur Autonomous Region Museum,Inner Mongolia Museum,Ningxia Hui Autonomous Region Museum,Tibet Museum and Guangxi Zhuang Autonomous Region Museum. 3) The theme of visitors' popular comments on five museums focuses on the social education function of the collection,the recognition of ethnic history and culture and regional characteristics,the collection display and venue services. It can comprehensively improve the management,operation and public cultural service capabilities of five museums: improving the quality of collections,promoting the digital construction of collection resources,improving the display level of exhibits,optimizing the explanation service,improving the on-site service skills and management and operation level,and strengthening the integration and joint construction of museums and higher education,strengthening publicity and so on.
MAO Taitian, WU Yuhao, HUANG Wenjia
. Content Mining and Sentiment Analysis of Online Comments for Ethnic Museums in Autonomous Regions[J]. Economic geography, 2023
, 43(8)
: 229
-236
.
DOI: 10.15957/j.cnki.jjdl.2023.08.023
[1] 焦丽丹,刘盈彤. 基层民族博物馆发展现状及提升策略研究[J]. 中国博物馆,2022(6):87-92,128.
[2] 刘凡. 民族博物馆的服务设计与观众体验[J]. 中南民族大学学报:人文社会科学版,2020,40(2):126-130.
[3] 唐兰冬. 中国民族博物馆历史回顾与现状分析[J]. 中南民族大学学报:人文社会科学版,2007(6):33-37.
[4] 《博物馆学概论》编写组. 博物馆学概论[M]. 北京:高等教育出版社,2019.
[5] 包金龙. 民族地区的民族博物馆建设与保护新思考[J]. 东方企业文化,2015(21):318.
[6] 李春华,陈蜀西. 民族高校博物馆铸牢中华民族共同体意识的优势及实践研究——以西南民族大学民族博物馆为例[J]. 民族学刊,2022,13(10):38-43,133.
[7] 曲轶莉,张开亮. 馆藏皮影文物的数字化保护探讨——以黑龙江省民族博物馆馆藏皮影为例[J]. 文物保护与考古科学,2022,34(4):123-128.
[8] 郑喜淑. 民族文物整理的困境与保护路径研究——以中央民族大学民族博物馆文物藏品为例[J]. 黑龙江民族丛刊,2016(1):106-109.
[9] Grimme G,Nowak K.The emergence of new contact zones? Ethnographic museums,the COVID-19 pandemic,and the digital age[J]. Zeitschrift Für Ethnologie-Journal of Social and Cultural Anthropology,2022,147(1-2):33-51.
[10] Gustavsson A.Revisiting and reframing ethnographic praxis. The return of visual collections from Gothenburg to the Argentine Chaco[J]. International Journal of Heritage Studies,2022,28(11-12):1242-1254.
[11] Blei D M,Ng A,Jordan M I.Latent dirichlet allocation[J]. The Journal of Machine Learning Research,2003(3):993-1022.
[12] 谭春辉,陈晓琪,梁远亮,等. 隐私泄露事件中社交媒体围观者情感分析[J]. 情报科学,2023,41(3):8-18.
[13] 王婷,杨文忠. 文本情感分析方法研究综述[J]. 计算机工程与应用,2021,57(12):11-24.
[14] 张冬,魏俊斌. 情感驱动下主流媒体疫情信息数据分析与话语引导策略[J]. 图书情报工作,2021,65(14):101-108.
[15] 丛丽,徐琳琳,方小雨. 冬奥会申办成功对北京旅游目的地感知形象的影响[J]. 北京大学学报:自然科学版,2021,57(3):496-506.
[16] 杨九龙,鲍慧璐. 用户在线评论省级公共图书馆内容挖掘与情感分析[J]. 图书馆学研究,2021(21):10-17.
[17] 林德雨,孟子敏. 基于网络文本分析与ASEB栅格分析的博物馆游客感知研究——以广东省博物馆为例[J]. 科学教育与博物馆,2020,6(4):243-251.
[18] 赵蓉英,戴祎璠,王旭. 基于LDA模型与ATM模型的学者影响力评价研究——以我国核物理学科为例[J]. 情报科学,2019,37(6):3-9.
[19] 陈光宇,易钟婷,关一,等. 消费者网购葡萄酒的影响因素及营销策略研究[J]. 中外葡萄与葡萄酒,2022(5):106-111.
[20] 郭明月. 浅议博物馆展览陈列的工作思路[J]. 文物鉴定与鉴赏,2018(2):98-99.
[21] 徐健美. 博物馆讲解技巧与方法[J]. 文化产业,2023(12):108-110.
[22] 刘小漪,陆亦瑝. 新时代中小型博物馆与中小学教育结合初探——以济南市博物馆为例[J]. 中国博物馆,2022(4):86-91.
