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The project organizes the development workflow with CRISP-DM, an iterative data mining process, and adopts agile methodology to reduce the overall development cycle.",{"@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 & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/personality-type-based-on-myers-briggs-type-indicator-with-text-posting-style-abstract/293330/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/personality-type-based-on-myers-briggs-type-indicator-with-text-posting-style-abstract/293330.png","ImageObject",300,407,{"name":42,"@type":43},"Quinn","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-03","2026-09-17",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",9,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main goal of the study?","Question",{"text":63,"@type":64},"The study aims to predict MBTI personality types from text, using posting style information as input.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which machine learning models are used for personality prediction?",{"text":68,"@type":64},"The work applies Naive Bayes, Support Vector Machines, and Recurrent Neural Networks to predict personality types from text.",{"name":70,"@type":61,"acceptedAnswer":71},"How is the development and data mining process managed?",{"text":72,"@type":64},"The project uses CRISP-DM to guide the learning process and applies agile methodology to keep development cycles short.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},293330,1789662415,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,115,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":112,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":113,"slug":114},8,30,"research-report",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":112,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":123,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":80,"read_time":143,"preview_page_count":4},962075114765,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning  \nSakdipat Ontoum􀀃y , Jonathan H. Chan􀀃y  \n􀀃 Computer Science Program, School of Information Technology y Innovative Cognitive Computing (IC2) Research Center  \nKing Mongkut's University of Technology Thonburi  \nBangmod, Thung-Khru, Bangkok, Thailand  \narXiv :2201 .08717v1 [ cs .CL] 21 Jan 2022  \nAbstract—The term “personality” may be expressed in terms of the individual differences in characteristics pattern of thinking, feeling, and behavior. This work presents several machine learning techniques including “Naive Bayes”,“Support Vector Machines”, and “Recurrent Neural Networks” to predict people personality from text based on “Myers-Briggs Type Indicator (MBTI)”. Furthermore, this project applies “CRISP-DM”, which stands for “Cross-Industry Standard Process for Data Mining”, to guide the learning process. Since,“CRISP-DM” is kind of iterative development, we have adopted it with agile methodology, which is a rapid iterative software development method, in order to reduce the development cycle to be minimal.  \nIndex Terms—Machine Learning; Naive Bayes; Support Vector Machines; Recurrent Neural Networks; Myers-Briggs Type Indicator (MBTI); Personality Prediction; CRoss Industry Standard Process for Data Mining (CRISP-DM); Agile Methodology  \nI. INTRODUCTION  \nThe “Myers-Briggs Type Indicator (MBTI)” is an approach that reflects and identifies a person's character. According to [2], a person's personality is described as a group of characteristics that describe the likelihood of a person's unique behavior, feelings, and thoughts. These characteristics of a person evolve and may differ in different contexts. In other words, personality is a collection of the traits that contribute to an individual's distinct personality. Nowadays, many different types of personality models are utilized to characterize personalities, such as the “Big Five Personality Traits model”  \n[3],“VIA Classification of Character Strengths” [4],“MyersBriggs Type Indicator (MBTI)” model [5,6], and “Jung's Theory of Personality Type models”. It has been discovered that“MBTI” is more powerful because it has a broader application in a variety of disciplines. However, it has a few reliability and validity concerns. We chose the “MBTI” personality model for this study because of its popularity and the potential for utilizing it in a variety of fields.  \nMachine learning is a method that researchers frequently employ to predict personality. They can utilize machine learning to learn personality patterns because it can be utilized to learn historical data and predict future data [1, 30] . In psychology science, such an application exists as a tool for  \npersonality evaluation and prediction [30] . The development of machine learning algorithm-based personality prediction technologies has become more important to businesses and recruiters for choosing the best candidates [30] .  \nNowadays, both natural language processing and social science communities have expressed an increasing interest in automatic personality prediction from social networks [9,30] . Social networks can also be utilized to investigate people's personalities. A social networking post can be made in a variety of ways, including by utilizing an image, a URL link, and music. Unlike traditional personality tests, which have mostly been utilized in human resources management, counseling, and clinical psychology. The application of automatic personality prediction from social networks is much larger. Dating websites and social media marketing are two examples [10, 31] .  \nIn this paper, personality type prediction from the text by utilizing the “Myers-Briggs Type Indicator” on the “MBTI”dataset to predict candidates' personality types [12] . The proposed method employs machine learning to create a classifier that utilizes text as input to predict the author's “MBTI”personality type. The remai","cbCaibnQuIe2kI0H","https://ap.wps.com/l/cbCaibnQuIe2kI0H","pdf",2626132,"English","# Introduction\n## Personality and MBTI background\n## Machine learning for personality prediction\n# Related Works\n## Machine Learning\n## Personality prediction system from Facebook users","[{\"question\":\"What is the main goal of the study?\",\"answer\":\"The study aims to predict MBTI personality types from text, using posting style information as input.\"},{\"question\":\"Which machine learning models are used for personality prediction?\",\"answer\":\"The work applies Naive Bayes, Support Vector Machines, and Recurrent Neural Networks to predict personality types from text.\"},{\"question\":\"How is the development and data mining process managed?\",\"answer\":\"The project uses CRISP-DM to guide the learning process and applies agile methodology to keep development cycles short.\"}]","Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style - Abstract - - | PDF",25]