文本挖掘技术在网络教育舆情监测中的应用

2010 International Conference on Computational Intelligence and Software Engineering Pub Date : 2010-12-30 DOI:10.1109/CISE.2010.5676990

Xiaomei Liu, Mingzhang Zuo, Lina Chen

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引用次数: 2

摘要

如今，网络上的网络教育舆情信息越来越多，对教育产生了重大影响。越来越多有用的隐藏信息可以被挖掘;因此，本文根据网络教育舆情的特点，以及适用于网络教育舆情监测的文本挖掘技术，构建了文本挖掘技术在网络教育舆情监测中的应用模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Application of Text Mining Technology in Monitoring the Network Education Public Sentiment

Nowadays, there is more and more network education public sentiment information on internet and it has produced a significant impact on education. More and more hide information which is useful can be mined; therefore, this paper constructs a model about the application of the text mining technology in monitoring the network education public sentiment, according to the characteristics of the network education public sentiment, and the text mining technology which can apply to monitor it.

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2010 International Conference on Computational Intelligence and Software Engineering

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