| Summary: | 碩士 === 國立交通大學 === 教育研究所 === 106 === The aim of this study is to develop a Chinese document classification systems for judging whether the content of the text is statistically relevant by means of machine learning algorithms. And the system is applied to the Facebook online discussion group in statistics course, classify posts and comments in the group is statistically relevant or not. Finally, this study will compare the reliability between machine classification and manual classification to explore whether the machine can achieve similar classification with humans.
The experimental results show that the accuracy of the machine classification model is between .917 and .950, and the reliability of machine classification and manual classification is between .522 and .760, which means that the machine has high classification accuracy and have the potential to replace manual classification.
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