Identifying psychological indexes based on social media data: A machine learning method

Identification and Modeling of College Students’ Psychological Stress Indicators for Deep Learning

“…Among them, the highest accuracy of this method in identifying college students' psychological stress indicators is about 98%. Although the accuracy of method in reference [8] and method in reference [9] is within a reasonable range, it is always lower than this method, which verifies the effectiveness of this method. e reason for the high recognition accuracy of this method is that this method preprocesses with the psychological stress index of college students before constructing the model and uses the sequential backward selection algorithm to select the characteristics of psychological stress index, optimize the input data of the model, and further improve the recognition accuracy.…”

“…By analyzing the experimental result data in Figure 5, it can be seen that there are some differences in the accuracy of identifying s students' psychological stress indicators by using the methods of this paper, method in reference [8], and method inreference [9]. Among them, the highest accuracy of this method in identifying college students' psychological stress indicators is about 98%.…”

“…In order to verify the validity and application value of the proposed deep learning-oriented college students' psychological stress index identification modeling method, experimental verification is carried out. In the experiment, the pressure recognition algorithm based on the improved particle swarm optimization BP neural network (method in reference [8]) and the psychological indicator recognition modeling method based on social media data (method in reference [9]) are used as comparison methods.…”

“…M P150 physiological parameter recorder was used to collect the ECG signals of subjects. e total number of samples collected in the recognition accuracy test is 60, and the proportion of the number of samples in the training set and the test set is set to 35 : 25. e methods in this paper, reference [8] and reference [9] are used to identify the psychological stress indicators of college students, respectively, and the recognition accuracy results are shown in Figure 5.…”

“…e results show that the recognition rate of psychological stress can reach 94.83%, and the recognition effect is good. Reference [9] proposes a psychological index recognition modeling method based on social media data, summarizes its feasibility in psychological measurement, introduces feature extraction methods, common machine learning algorithms, and application scenarios, and summarizes and respects the advantages and disadvantages of psychological index recognition modeling. is measurement method is based on social media data and has unique advantages compared to the self-report method, such as high timeliness, retrospective measurement, and good ecological validity.…”