基于大数据的服饰风格影响分析

Analysis on the influence factors of clothing style based on big data analysis

运用爬虫采集器从各大主流自媒体平台采集了唐代服饰相关的各种语料文本,运用大数据智能语义分析软件NLPIR-master对文本数据进行关键词提取和语言统计,发掘了与服饰相关的影响因素以及风格特征,证明了运用大数据分析方式进行指定主题服饰风格及其相关特征因素分析的可行性。

The crawler collector was used to collect various corpus texts related to Tang dynasty costumes from various mainstream we media platforms.NLPIR-master,a big data intelligent semantic analysis software,was used to extract key words and language statistics from the text data,explore the relevant influencing factors and style features of costumes.It proves the feasibility of using big data semantic analysis to analyze a certain theme clothing style and its related characteristics.