Design and Implementation of Chinese Historical Text Mining System Based on Culturomics  

作　　者：Lin Tang Chonghui Guo 

机构地区：[1]Institute of Systems Engineering,Dalian University of Technology,Dalian,China [2]Department of Software Engineer,Dalian University of Technology City Institute,Dalian,China

出　　处：《国际计算机前沿大会会议论文集》2016年第1期80-82,共3页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

基　　金：This work is supported by National Nature science Foundation of China(Grant No.71171030)

摘　　要：Culturomics and Chinese text mining methods are of great significance for analyzing the development and evolution of Chinese history and culture. To help researchers analyze a large number of Chinese historical text data, a Chinese historical text mining system based on cultruomics is designed, which includes text data processing and analyzing subsystem, text data visualizing subsystem, and text data clustering and retrieval subsystem. First of all, our system preprocesses the text data, then visualizes the text data with the frequency of words line chart and word cloud, at last selects the text data through clustering and retrieval methods. It further supports researchers to discover knowledge from a large number of historical text data. We demonstrate its general performance on text data of Canton Customs into our system. The result shows that our system is feasible and effective.

关 键 词：Culturomics Canton CUSTOMS TEXT MINING 

分 类 号：C5[社会学]