An Adaptive Approach of Natural Language Processing (NLP) to Predict Aggressive Behavior of Adults in Educational Institution

The paper examines why college students are aggressive. Data for the study were obtained from university professors through a questionnaire. Digital education has been transformed by natural language processing technology. Online literacy programs are increasingly incorporating NLP (Natural Language Process). In the modern age, NLP is being used for various educational tasks, including essay grading and feedback, student behavior, and example generation. The results show that boys use foul language and are involved in destructive activities compared to girls who were rarely observed in bad language or physical fights. The major causes of this include negative families or homes (parent and divorced and family issues), gross behavior of parents, dictatorial or mistaken teaching behavior, poor teacher/student contact, study pressure, unfriendly interpersonal relationships, and social injustices. The finding shows that there is no freedom of choice in the choice of subjects that makes boys aggressive and the gender-based society makes girls aggressive. Aggressive behavior of students in college should be addressed with the highest priority by organizing counseling services for students at the college level to provide psychotherapy for the relaxation of aggressive behavior. Parents’ roles at home and interactions with teachers, strong teacher-student interactions, and cooperative learning activities for students will be a significant strength towards better educational future.