The Literature Review of Text Data Mining

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.

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The Literature Review of Text Data Mining

Semantic Scholar · Computer Science · 2017

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.

References (10)

07基于 ROST 文本挖掘软件的贵阳市城 市旅游品牌受众感知研究2015 · 重庆师范大学学报 ( 自然科学 版 )
10What can we learn from the web?1999 · proceedings of the Sixteenth International Conference on Machine Learning (ICML’99)

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