图书情报工作 ›› 2021, Vol. 65 ›› Issue (20): 142-150.DOI: 10.13266/j.issn.0252-3116.2021.20.015

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英美高校图书馆在线展览的主题和情感特征定量分析

吴茵茵   

  1. 华南农业大学图书馆, 广州 510642
  • 收稿日期:2021-05-07 修回日期:2021-07-27 出版日期:2021-10-20 发布日期:2021-10-22
  • 作者简介:吴茵茵(ORCID:0000-0003-1046-4215),副研究馆员,硕士,E-mail:wuyinyin@scau.edu.cn。
  • 基金资助:
    本文系广东省图书馆学会科研项目"智慧图书馆虚拟空间的构建及服务研究"(项目编号:GDTK2009)研究成果之一。

Quantitative Analysis of Theme and Emotional Characteristics of Online Exhibitions in British and American University Libraries

Wu Yinyin   

  1. Library of South China Agriculture University, Guangzhou 510642
  • Received:2021-05-07 Revised:2021-07-27 Online:2021-10-20 Published:2021-10-22

摘要: [目的/意义] 从主题和情感的维度对国外高校图书馆在线展览进行定量化研究,有助于深入客观地了解国外高校图书馆在线展览的现状,对国内高校图书馆在线展览的建设与发展有重要的借鉴意义。[方法/过程] 利用基于LDA的主题建模技术和基于Sentiment analysis的情感分析技术以及网络爬虫方法,从语义关联、情感表达等角度对美国和英国302所高校图书馆的2 278个在线展览内容进行定量分析和可视化展示。[结果/结论] 英美高校图书馆在线展览在主题上具有明显的文化传承差异的同时又对高校的建设和发展表现了共同的关注,展览作品的年代注重历史发展特色,并且涉及战争、政治、种族等话题的作品具有强烈的情感色彩。

关键词: 高校图书馆, 在线展览, 主题聚类, 情感分析

Abstract: [Purpose/significance] This paper makes a quantitative study of the online exhibitions of foreign university libraries from the theme and emotion dimensions, which not only helps to understand the current situation and development trend of the online exhibitions of foreign university libraries, but also has important reference for the construction and development of the online exhibitions of domestic university libraries. [Method/process] Using LDA, sentiment analysis technology and Web crawler method, the present study quantitatively analyzed and visually displayed the semantic association, emotional expression of 2 278 webpages regarding online exhibitions of 302 British and American university libraries. [Result/conclusion] The results show that the online exhibitions of British and American university libraries not only have obvious cultural heritage in the theme, but also show common concern for the construction and development of universities. They pay attention to the historical development characteristics in the age of the exhibition works, and have strong emotional characteristics of the works involving war, politics, race and other topics.

Key words: university library, online exhibition, topic clustering, sentiment analysis

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