Emotion Analysis of Student Evaluation of Teaching Based on Natural Language Processing
The emotion analysis of students'teaching evaluation information plays a crucial role in the improvement of class-room teaching.This paper uses the natural language processing method of"Chinese word segmentation+token+LSTM model"to carry out the emotion analysis of students'teaching evaluation information.Set thesaurus and stop words,and divide the data set in-to Chinese words.The Chinese word segmentation list is trained to get a digital dictionary,the word segmentation list is converted into a number list,and the number list is converted into a spatial vector to form a data set.The LSTM model was established and trained with the established training set.The trained model was evaluated,and the evaluation results proved that the model was reli-able.The selected typical and complex data were predicted and the results of emotion analysis were obtained.The experimental re-sults show that the model is correct for the analysis of typical and complex teaching evaluation information.
natural language processingevaluation information of teachingemotion analysisChinese word segmentationLSTM model
万方数据
维普
