基于语料大数据的“潮”文化特征计算与分类

Computation and classification of tide culture features based on corpus big data

为解决目前对于“潮”文化的特征缺乏完整阐释的问题,文章利用文化计算方法进行潮文化的特征采集、计算与分类。利用网络爬虫技术进行基于互联网的潮文化语料大数据采集,并通过中文分词与过滤处理获得潮文化的特征词;然后通过词频统计进行特征量的计算,实现特征强度的量化,并提取了前100个特征供后续分析;接着分别采取基于词义、词频的分类,梳理出潮文化的五个特征子集,并提取了潮文化的核心,针对特征子集进行阐述和分析,展现了潮文化的内涵与形式。探讨了潮文化的特征结构,揭示了潮文化与大众时尚的辩证关系,有助于理解当下时尚文化的多样性及动态规律。

Aiming at the issue of lacking comprehensive elaboration on the features of the tide culture,this study employs the method of culture computation to carry out feature collection,calculation and classification for the tide culture.First of all,the web crawler technology was used to conduct the corpus big data collection from the Internet,and the feature words were obtained by Chinese word segmentation and filtration.Then,the feature quantity was calculated by word frequency statistics to achieve the quantification of the feature intensity.Besides,the first 100 features were extracted for follow-up analysis.Next,feature classifications based on word meaning and word frequency were performed respectively to comb out the five feature subsets plus one core subset of the tide culture.Elaboration and analysis were carried out for these subsets,and the connotation and form of the tide culture were exhibited.This study has inquired the structure of the tide culture and investigated the dialectical relationship between the tide culture and the mass fashion,contributing to the understanding of diversity and dynamic law of today’s fashion culture.