A Novel Method based on Large Language Model for MBTI Classification: A Novel MBTI Classification Method

Personality analysis has a wide and important application in psychology, helping us explain various psychological phenomena and the developmental laws of personality. Accurately identifying personality will contribute to research in fields such as cognitive science, public opinion analysis, and cybersecurity. The most widely used models in the field of personality recognition are the Big Five personality model and MBTI model in trait genre. With the rise of social media and Large Language Model(LLM), massive corpora and deep learning models have been used for personality analysis and have achieved good results. In view of this, this article introduces a novel method based on transformer-based pre-trained language model named mDeBERTa and uses the MBTI-500 and MBTI-1 datasets as examples to demonstrate the advantages of this model over traditional SVM models and BERT models. At the same time, we explore the possibility of using large models and multimodal data for more accurate personality analysis.

• Publication year

  2024

• Venue

  Proceedings of the 2024 International Conference on Computer and Multimedia Technology

• Publication date

  2024-05-24

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1145/3675249.3675253
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum

  2021cited by this paper
• Comparison of machine learning algorithms for content based personality resolution of tweets

  2021cited by this paper
• Transformer-based Approaches for Personality Detection using the MBTI Model

  2021cited by this paper
• PERSONALITY IDENTIFICATION BASED ON MBTI DIMENSIONS USING NATURAL LANGUAGE PROCESSING

  2020cited by this paper
• Personality Classification from Online Text using Machine Learning Approach

  2020cited by this paper
• PANDORA Talks: Personality and Demographics on Reddit

  2020influential reference
• Machine Learning Approach to Personality Type Prediction Based on the Myers-Briggs Type Indicator®

  2020cited by this paper
• Predicting MBTI Personality type with K-means Clustering and Gradient Boosting

  2020cited by this paper
• Improving Intelligent Personality Prediction using Myers-Briggs Type Indicator and Random Forest Classifier

  2020cited by this paper
• A Comparative Study of Different Classifiers for Myers-Brigg Personality Prediction Model

  2018influential reference
• Survey Analysis of Machine Learning Methods for Natural Language Processing for MBTI Personality Type Prediction

  2017cited by this paper
• A Survey of Personality Computing

  2014cited by this paper
• The Enneagram: A Review of the Empirical and Transformational Literature

  2010cited by this paper
• Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

  2007cited by this paper
• The Diagnostic Interview Schedule for Children-Revised Version (DISC-R): I. Preparation, field testing, interrater reliability, and acceptability.

  1993cited by this paper
• An alternative "description of personality": the big-five factor structure.

  1990cited by this paper
• A METHOD FOR INVESTIGATING FANTASIES: THE THEMATIC APPERCEPTION TEST

  1935cited by this paper
• Validity and Reliability of the Myers-Briggs Personality Type Indicator: A Systematic Review and Meta-analysis

  year unknowncited by this paper

• Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference

  2025cites this paper
• Advancing Personality Prediction: A Multi-Agent Framework with RAG for MBTI Classification

  2025cites this paper