%0 Journal Article
%T 基于Python网络爬虫技术下的BIM热点话题研究<br>Research on BIM Hot Topics Based on Python Web Crawler Technology
%A 李晨曦
%A 王冰竹
%A 李兆辉
%J Statistics and Applications
%P 1235-1241
%@ 2325-226X
%D 2022
%I Hans Publishing
%R 10.12677/SA.2022.115128
%X 本文通过python的网络爬虫技术，使用BeautifulSoup库，对知乎社交平台上对BIM话题的讨论内容进行爬取，利用jieba库进行分词，同时进行430份问卷调查，用SPSS进行分析，对现阶段欲进入BIM行业和BIM行业的工作人员进行聚类划分，并用结构方程模型进行BIM技术推广的障碍分析。用可视化图表的方式分析现阶段BIM技术的发展现状，并对未来其发展进行统计分析建模，分析其影响，并对如何更好的推广BIM技术提出建议。<br />
Through the web crawler technology of Python, this paper uses Beautiful Soup library to crawl the discussion content of BIM topics on Zhihu social platform, and performs word segmentation by Jieba library. At the same time, 430 questionnaires are conducted and SPSS is used for analysis. At present, the staff who want to enter BIM industry and BIM industry are divided into clusters, and the barriers of BIM technology promotion are analyzed by structural equation model. This paper analyzes the current development status of BIM technology in the way of visual charts, conducts statistical analysis and modeling of its future development, analyzes its impact, and puts forward suggestions on how to better promote BIM technology.
%K 爬虫，词频统计，知乎，BIM<br>Reptile
%K Word Frequency Statistics
%K Zhihu
%K BIM
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=57301