Web文本挖掘及可视化  

Web Text Mining and Visualization Based on R Language

作　　者：邓远飞 林晓伟 DENG Yuan-fei;LIN Xiao-wei(Dept.of Information Engineering,Guangzhou City Construction College,Guangzhou 510000,China)

机构地区：[1]广州城建职业学院信息工程学院,广州510000

出　　处：《价值工程》2018年第14期216-218,共3页Value Engineering

摘　　要：文本挖掘和文本可视化是计算机中重要应用技术,能够形象地高度概括文本信息中的核心内容,方便人们快速地理解和吸收文本中的核心思想。本文阐述文本挖掘预处理简要处理流程,然后阐述使用R软件进行文本挖掘,实现词项聚类、文本聚类、绘画词项云图、词项网络图等,找出其中隐藏的文本信息,并以可视化方式展现出来。最后对文本挖掘和文本可视化技术进行总结和展望。Text mining and text visualization are important application technologies in computers.They can summarize the core content of text information highly and help people quickly understand and absorb the core ideas in the text.This article elaborates the brief processing flow of text mining preprocessing,and then elaborates the use of R software for text mining,and implements term clustering,text clustering,drawing term cloud diagrams,term network diagrams,etc.,to find the hidden text information,and visualize it.Finally,it summarizes and prospects text mining and text visualization technologies.

关 键 词：预处理 分词 文本聚类 文本可视化 词云 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]