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The Literature Review of Text Data Mining

机译:文本数据挖掘文献综述

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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.
机译:目前,在结构化数据分析的研究中,国内外研究者主要侧重于网络教学环境中的学习者,以多种交互学习模式,不断生成基于文本的非结构化数据。近年来,通过挖掘文本数据来评估学习者的心理能力和知识并筛选其行为已成为一种新的学习方法。首先介绍了文本数据挖掘的概念和技术,然后介绍了主流的文本挖掘工具和方法,最后从两个领域阐述了文本挖掘技术在自然科学和社会科学中的应用现状和六个应用分析,课程评估支持学习者,知识和能力,学习社区团体,危机预警的学习行为,预测学习效果和学习状态可视化。

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