Investigating the accuracy of extract personality traits using linguistic analysis
Cardiff Metropolitan University
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Recently, personality variations have inspired a surge of theoretical accounts on the theories of personality and the accuracy of the cognitive tool, personality insights. This research explores the investigation of accuracy the personality traits being extracted including the evolution of personality and the cognitive technology along with impact it has in everyday lives. As the cognitive technology is increasing over the years, the tools of the technology are becoming more powerful than ever. The personality insight tool is being used by many individuals, organisation and companies. It is being used in my aspect of life from hiring the suitable candidate for the role to understanding a patients’ personality through healthcare. Personality insights tries to provide insights into someone’s personality. This is done by looking at something written through blog posts, tweets or any data that consists of the person’s hobbies, the kind of person they are and what they do in their everyday life. As the use of this tool is rapidly increasing, its is putting a more impact on how people make decisions. Accuracy has been put on the line to rely on this tool to decide whether an applicant is successful at a job applied for or if a patient is more of a stressful person. Many theories have been introduced on how personality can be interpreted but a comparison, analysis and conclusion on the accuracy on extracting personality traits is yet to be discovered through using different sources to extract the same data inputted. This study investigates and critically evaluates with linguistic analysis on how accurate the method of extracting personality traits can actually be. The study also included the development of a custom application that helped aid to extract personality traits to linguistically analyse the accuracy. The application is used as a source to compare with another source to carefully evaluate the significant difference or similarity of both results received.
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