The Literature Review of Text Data Mining
Science Discovery
Volume 5, Issue 6, November 2017, Pages: 438-443
Received: Nov. 16, 2017; Published: Nov. 21, 2017
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Authors
Yanli Xu, School of Educational Technology Information, Central China Normal University, Wuhan, China
Rong Zhao, School of Educational Technology Information, Central China Normal University, Wuhan, China
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Abstract
At present, the study of structured data analysis, researchers at home and abroad mainly focus on the learners in the network teaching environment, with diversified interactive learning mode, text based nonstructured data is generated continuously. In recent years, through the mining of text data to evaluate the learner's ability and knowledge of psychology and screening the behavior has become a new learning method. Firstly introduces the concept and technology of text data mining, then introduces the tools and methods of text mining in the mainstream, finally expounds the present situation of the application of text mining technology in natural and Social Sciences in the two fields and 6 application analysis, namely curriculum evaluation support learners, knowledge and ability, learning community groups, learning behavior of crisis early warning, forecasting learning effect and learning state visualization.
Keywords
Text Data Mining, Analysis Tools, Learning Analysis
To cite this article
Yanli Xu, Rong Zhao, The Literature Review of Text Data Mining, Science Discovery. Vol. 5, No. 6, 2017, pp. 438-443. doi: 10.11648/j.sd.20170506.18
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