A teaching evaluation method based on sentiment classification

作者：Zhao Hua^*; Ji Xiaowen; Zeng Qingtian; Jiang Shan

来源：International Journal of Computing Science and Mathematics, 2016, 7(1): 54-62.

DOI：10.1504/IJCSM.2016.076032

• Effective measures
• Sentiment analysis
• Sentiment classification
• Sentiment dictionaries
• Teaching evaluation
• Teaching methods
• Teaching process
• Word recognition

Teaching evaluation is an important part of the teaching process, and is an effective measure to improve teaching method. In order to automatically analyse the massive teaching evaluation texts on internet, this paper proposes to apply the sentiment classification technology to the sentiment analysis of teaching evaluation texts, and introduces a teaching evaluation analysis method based on the sentiment dictionary. In order to deal with the problem of the frequent appearance of new words in these texts, propose a method to recognize the new words automatically, and then use these recognised words to expand the sentiment dictionary. Experimental results show that the sentiment classification based on the expanded sentiment dictionary increases the recall rate of the system successfully, which brings the improvement of the overall performance of the teaching evaluation analysis system.

• 出版日期2016
• 单位山东科技大学