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Apply Self-organizing Map Text Mining Algorithm to Analyze Chinese Ergonomics Research Area

WU Xing-wei,Pei-luen Patrick RAU (Department of Industrial Engineering,Tsinghua University,Beijing 100084,China)  
Text mining is a process in which effective,fresh,useful,understandable and valuable knowledge in the text contents is extracted and utilized to better organize information.Self-organizing map(SOM) text mining algorithm is applied to conduct a clustering analysis towards the documents in the Chinese Ergonomics journal data base.After the text mining process,the current main research areas and trends in Chinese ergonomics research is found and then compare the clustering results with the research areas published by the International Ergonomics Association(IEA).
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