Five Factor Model of Personality Trait Analysis on Twitter Data using Benchmark Classifier
Sayeda Umera Almas1, Puttegowda D2
1MSayeda Umera Almas*, Research Scholar, ATME College of Engineering, Mysuru, Visvesvaraya Technological University, Belagavi, India.
2Dr. Puttegowda D, Professor and Head, Department of Computer Science & Engineering, ATME College of Engineering, Mysuru, Visvesvaraya Technological University, Belagavi, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 30, 2020. | Manuscript published on April 10, 2020. | PP: 2240-2243 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4643049620/2020©BEIESP | DOI: 10.35940/ijitee.F4643.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Personality traits, Classification models, Twitter data analysis, Natural Language Processing.
Scope of the Article: Natural Language Processing