Open AccessFive Factor Model of Personality Trait Analysis on Twitter Data using Benchmark Classifier
Author(s) -
Sayeda Umera Almas*,
Puttegowda D
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f4643.049620
Subject(s) - personality , big five personality traits , trait , classifier (uml) , big data , psychology , benchmark (surveying) , computer science , data science , artificial intelligence , machine learning , social psychology , data mining , geodesy , programming language , geography
Health and wealth of the society is directly proportional to the activities conducted based on healthy personality traits of the citizens and their social behavior’s. Hence, the diagnosis and its preventive measures play a very important role and may be challenge for medical and engineering domains. The proposed paper is trying to analyze the personality traits based on Five Factor Model by processing the twitter dataset. The classification models are trying to give number of solutions corresponding to large amount of data (Big data). Classification technique may predict the personality qualities of the user based on their interaction with the system. This diagnosis may support the society in bringing up healthy environment for better lifestyle of everybody.