A Systematic Approach for the Prediction of Personality Based on Attention Enhanced GCNN and LSTM Approach

Individuals can be distinguished from one another in significant ways, and one such way is by one's personality. Predicting someone's character traits is a perennial topic of study. Personality prediction using social media data has great potential because it eliminates the need for users to fill out lengthy questionnaires, saving both time and improving the method's trustworthiness. As a result, understanding personality is a topic that piques the curiosity of scientists. There are many real-world uses for personality prediction. The popularity of social media platforms continues to grow. Every day, more and more pictures and text are uploaded on the internet. Most recent efforts have been concentrated on feature extraction, feature selection, and model training. The proposed method employs AGCNN-LSTM for measuring performance. The suggested model performs better than the CNN and LSTM models against which it is benchmarked.