Paper Title
Personality classification using data Mining
Article Identifiers
Authors
Keywords
—personality classification and prediction, Random forest, SVM, decision tree, logistic regression, KNN, frequent patterns
Abstract
Personality of a person decides whether he can play the role of leader, influence people around, mastering communication skills, do collaborative work, able to do negotiation is business and handle stress. This project deals with the areas wherever it determines the characteristics of someone based on the frequent patterns observed. Personality classification refers to the psychological classification of different types of individuals. The analysis is done using vast set of data in dataset and is being compared with the user input. In this project, the classification of personalities will be done on the basis of these specific characteristics; conscientiousness, openness, extroversion, agreeableness, neuroticism. Researchers have utilised social media data for auto predicting personality. However, it is confusing and complex to mine the social media data as the data can be noisy. The paper proposes machine learning techniques using Random Forest, Logistic Regression, Decision Tree, Support Vector Machine, KNN. The process of implementation and obtaining of the result will include certain steps like- Data collection, Attribute selection, Preprocessing of data, Prediction of personality. The type of personality classification and prediction can be used in certain fields like business intelligence, marketing and psychology. Research in prediction and analysis of human being is in great demand these days. Predicting the personality of candidates by this system has made things simple in varied fields like recruitment procedure, medical counselling and likewise. Personality prediction using the questionnaire helps to find out the behavioural features of the individuals taking the survey.
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How To Cite (APA)
Salomi Pawar, Sakshi Panchal, & Madhavi Kad (May-2023). Personality classification using data Mining. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), c467-c471. https://ijnrd.org/papers/IJNRD2305262.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : c467-c471
Other Publication Details
Paper Reg. ID: IJNRD_194835
Published Paper Id: IJNRD2305262
Downloads: 000122253
Research Area: Engineering
Author Type: Indian Author
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305262.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305262
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