基于文本挖掘的投资者关注指标与投资行为分析研究

Analysis and Research on Investors’ Concerned Index and Investment Behavior Based on Text Mining

近年来,随着互联网技术和大数据技术的不断发展,人们获取投资信息的时间成本、空间成本不断地下降,但是信息质量却是变得良莠不齐,投资者特别是新投资者面对海量的金融数据信息难以快速地找到自己所需的信息。因此,该文利用LDA主题模型对所爬取的文本信息进行挖掘分析,并进行了数据可视化展现。研究发现,投资者关注主题热词,对投资者现实的投资行为具有一定的参考意义。

In recent years, with the continuous development of Internet technology and big data technology, the cost of time and space for people to obtain investment information has been declining. However, the quality of information has become intermingled. Investors, especially new investors, are difficult to quickly find the information they need in the face of a large amount of financial data. Therefore, this paper uses LDA topic model to mine and analyze the crawled text information, and presents the data visually. The research finds that investors pay attention to the hot topic words, which has certain reference significance for investors’ real investment behavior.