Ocean Coefficient: A Feature Extraction Technique for Five Factor Model based Classifications
Sayeda Umera Almas1, Puttegowda D2
1Sayeda 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 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1841-1844 | Volume-9 Issue-4, April 2020. | Retrieval Number: D8395049420/2020©BEIESP | DOI: 10.35940/ijeat.D8395.049420
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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: Natural Language Processing has opened up several avenues in the field of research and developments. It has supported wide variety of applications, but still the opportunities are enormous for the researchers to look into several other aspects in the discovery of new dimensions. In this regard the current paper is trying to introduce a revolutionary feature extraction technique, particularly for the studies/research corresponding to five factor model based behaviour analysis.
Keywords: Personality traits, Feature extraction technique, OCEAN Model, Natural Language Processing