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Such predictions can support practical uses including workplace team building and personalized marketing by tailoring products and advertisements. The work also outlines personality dimensions from Jung’s theory and introduces goals like understanding traits, improving prediction accuracy, and enabling real-world domain applications.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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Machine Learning Techniques  \nAnkur Vipin Sheth 1, Dev Rohit Pandhare2  \n1 Student, Computer Science Engineering, Manipal University Jaipur 2 Student, Computer and Communication Engineering, Manipal University Jaipur  \nAbstract  \nThe Myers-Briggs Type Indicator (MBTI) is a popular and widely used personality assessment tool that categorizes individuals into one of sixteen different personality types based on their preferences for certain psychological traits. This makes MBTI a fascinating subject for research in the fields of psychology and artificial intelligence. Machine learning has advanced significantly in recent years and has become a powerful tool for predicting outcomes based on data. By using machine learning algorithms to analyse data from MBTI tests, researchers can potentially identify patterns and develop models that accurately predict an individual's personality type based on their responses to the test. The ability to predict an individual's personality type could have a range of practical applications, such as in the workplace or in personalized marketing. For example, employers could use personality predictions to build more effective teams, while marketers could use them to tailor advertisements and products to specific personality types.  \nKeywords: MBTI  \n1. INTRODUCTION  \nA person's personality affects all facets of life. It defines the thought, feeling, and conduct patterns that impact daily activities such as emotions, preferences, motivations, and health and forecast and characterise an individual's actions. Various personality models, such as the Myers-Briggs Type Indicator (MBTI), serve as the foundation for these applications.  \nKatharine Briggs and Isabel Briggs Myers, a mother-daughter team, created the Myer-Briggs type indicator, or MBTI. Making Carl G. Jung's theory of psychological types approachable and applicable to everyday life is the aim of the MBTI personality inventory. Four functional kinds were used by C. G. Jung to categorise personality types:  \n1. Extraversion (E) or Introversion (I)  \n2. Sensing (S) or Intuition (I)  \n3. Thinking (T) or Feeling (F)  \n4. Judging (J) or Perceiving (P)  \nAs per Jung, a person can be either extrovert or introvert plus either be sensing or intuitive plus either be thinker or feeling plus either judging or perceiving. This way there are in total sixteen different personality types in MBTI (e.g.– ESTJ, INTP, ESFP etc) .  \nFigure 1 : MBTI Personality Types.  \nThe Myers Briggs Type Indicator is a personality type system that divides a person into various distinct personalities based on introversion, intuition, thinking and perceiving capabilities. We can identify the personality of a person from the type of posts they put on social media. The objectives ofthe project areas follows:  \n• Understanding individual personality traits: The project can be aimed at understanding the personality traits of individuals such as introversion, extroversion, neuroticism, etc. This can be done by analysing text data such as social media posts, emails, or interviews.  \n• Improve the accuracy of the existing models: The existing models which people have developed earlier have an accuracy which we believe that is not suitable for any practical application. They all had an accuracy below 75 percent and we aim to take it above.  \n• Bring Real world Applicability: We want to create a model which, because of its high accuracy, will be applicable on wide variety of domains like psychology, employee recruitment, chatbot development, etc.  \n2. LITERATURE REVIEW  \nNumerous different machine learning algorithms have used by experimenters in the study of personality prediction. All exploration in this field involved several stages, including data gathering, pre-processing, rooting features and perform bracket to determine the delicacy of the model. This section highlights the Myers – Briggs Type Indicator ®(MBTI) and affiliated workshop from for","cbCaifSlISPGT9S0","https://ap.wps.com/l/cbCaifSlISPGT9S0","pdf",420310,"English","# Abstract\n# Introduction\n## MBTI and Jung’s personality dimensions\n## Project objectives\n# Literature Review","[{\"question\":\"What is the Myers-Briggs Type Indicator (MBTI)?\",\"answer\":\"MBTI is a popular personality assessment that categorizes individuals into sixteen personality types based on preferences for psychological traits.\"},{\"question\":\"How can machine learning be used for MBTI prediction?\",\"answer\":\"By analyzing data from MBTI tests, machine learning algorithms can learn patterns and predict an individual’s MBTI type based on their responses.\"},{\"question\":\"What practical applications are suggested for predicting personality types?\",\"answer\":\"Personality predictions can be used for workplace tasks like building effective teams and for personalized marketing such as tailoring advertisements and products to personality types.\"}]","Myers-Briggs Personality Prediction Using Machine Learning Techniques - Abstract and Introduction | PDF",23]