Method for analyzing academic emotions of Internet users based on Baidu Post Bar

A method for analyzing academic emotions of Internet users based on Baidu Post Bar includes the steps of performing data collection and extraction; collecting a theme post of Secondary School EntranceExam and College Entrance Examination Bar of Baidu Post Bar, and forming a data set; performing data preprocessing; first removing non-text information in the post content of the data set; performingChinese word segmentation, analyzing part of speech of words in post text, and removing relevant stop words; performing academic emotion classification; performing academic emotion labeling on the data set after data preprocessing according to 13 academic emotions, wherein the academic emotion labeling includes artificial labeling machine learning and machine labeling; and performing correlationand difference analysis on academic emotion classification results. According to the method, the academic emotion artificial classification and a machine learning method are adopted to perform emotionclassification on the data