PDF] Detection of Myers-Briggs Type Indicator via Text Based Computer-Mediated Communication

Various algorithms for detecting Myers-Briggs Type Indicator based on brief samples of an individual’s text communication from the web site Twitter are explored. In this paper various algorithms for detecting Myers-Briggs Type Indicator based on brief samples of an individual’s text communication from the web site Twitter are explored. These algorithms are trained using almost sevenhundred-thousand tweets from four-thousand-six-hundred unique users who have indicated their MBTI results. Keywords-MBTI; Myers-Briggs; Twitter; NLP; Naïve Bayes

A sentiment-aware deep learning approach for personality detection from text - ScienceDirect

Inferring Students' Personality from Their Communication Behavior in Web- based Learning Systems

MYERS-BRIGGS TYPE INDICATOR (MBTI): - CAMHS Professionals

Mathematics, Free Full-Text

2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society

Personality Detection via MBTI Test

Bibliographie

PDF] Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning

PDF) Development of a Myers-Briggs Type Indicator Based Personalised E-Learning System

PDF] Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning

Putting Environmental Infographics Center Stage: The Role of Visuals at the Elaboration Likelihood Model's Critical Point of Persuasion - Allison Lazard, Lucy Atkinson, 2015

Programmable Molecular Scissors: Applications of a New Tool for Genome Editing in Biotech: Molecular Therapy - Nucleic Acids