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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Personality classification using data Mining |
| Authors Name: | Salomi Pawar , Sakshi Panchal , Madhavi Kad |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_194835
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| Published Paper Id: | IJNRD2305262 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| 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. |
| Keywords: | —personality classification and prediction, Random forest, SVM, decision tree, logistic regression, KNN, frequent patterns |
| Cite Article: | "Personality classification using data Mining", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c467-c471, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305262.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305262 Registration ID: 194835 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: c467-c471 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305262 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305262 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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