%0 Journal Article
%T 中国科幻电影的发展分析——基于网络在线评论的Python文本挖掘
An Analysis of the Development of Chinese Science Fiction Movies
%A 严自强
%A 赵汝飞
%A 张玉婷
%A 张文琦
%A 阎虎勤
%J Hans Journal of Data Mining
%P 152-162
%@ 2163-1468
%D 2020
%I Hans Publishing
%R 10.12677/HJDM.2020.102016
%X
科幻电影作为目前市场上最重要的商业类型片之一,用独特的叙事方式和极具冲击力的艺术表现手法,戏剧化的展现出科技进步和社会变革带来的影响。本文通过使用Python语言所提供的BS4网页爬虫、Wordcloud词云统计、Jieba汉字词库等分析工具,对好莱坞科幻片《复仇者联盟》《头号玩家》和中国科幻片《流浪地球》的网络影评进行了大数据挖掘,分析和总结了好莱坞科幻片成功的原因,以及中国科幻电影发展的不利因素和有利条件,从而对中国科幻电影发展的未来趋势提出思考和展望。
As one of the most important commercial genre films on the market, science fiction movies use unique narrative methods and highly impactful artistic expressions to dramatically show the im-pact of technological progress and social changes. This article uses the BS4 web crawler, Wordcloud statistics, Jieba Chinese character lexicon and other analysis tools provided by the Py-thon language to conduct online film reviews of the Hollywood science fiction film “Avengers” “The Number One Player” and the Chinese science fiction film “Wandering Earth”. It analyzed and sum-marized the reasons for the success of Hollywood science fiction films, as well as the unfavorable factors and favorable conditions for the development of Chinese science fiction films, so as to pro-pose thinking and prospects for the future trends of the development of Chinese science fiction films.
%K 文本挖掘,科幻电影,因素分析,电影市场
Text Mining
%K Science Fiction Movie
%K Factor Analysis
%K Film Market
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=35157