Advanced Analysis of Social and Psychological Factors in Higher Education Institutions Using DNN and LSTM

This proposed takes a look at the faculty's social and psychological markers to see how the university's reputation stacks up. In an all-encompassing study, the five components that make up the image of a university were determined by factor and correlation analysis. These components include professional, emotional-volitional, motivating, social-psychological, and individual-psychological. There are three steps to the procedure, which varies preprocessing, feature selection, and training the model. Text preparation and data classification are part of the preprocessing phase. Using time domain analysis for feature extraction is one simple approach to handling HRV parameters. An DNN-Multilayered LSTM was utilized for the model's training. Compared to LSTM and DNNs, the proposed technique has a higher average accuracy of 90.19 percent.