Subjective Evaluation of University Teaching Based on Text Analysis
Analyzing teaching subjective evaluation has important guiding significance for improving teaching quality.A five-latitude university teaching subjective evaluation sentiment analysis model is constructed to analyze the teaching subjective evaluation feedback text.And on the basis of this model,a K-nearest neighbor(KNN)based classification algorithm is proposed to realize the three classifications of"commendation,derogation,and neutrality".The experimental results show that the subjective evaluation method of university teaching based on text analysis proposed in this paper can obtain a high classification accuracy.
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