# Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models

arXiv: https://arxiv.org/abs/1907.06333 · HTML: https://mlsanity.com/paper/1907.06333/

## Key facts

- Cited by 20 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jul 2019.

## Built on by (most cited first, 20 of 20)

- [An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era](https://mlsanity.com/paper/2210.03538/) (2022)
- [Editing Personality for Large Language Models](https://mlsanity.com/paper/2310.02168/) (2023)
- [LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model](https://mlsanity.com/paper/2403.07581/) (2024)
- [Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection](https://mlsanity.com/paper/2212.01515/) (2022)
- [Psycholinguistic Tripartite Graph Network for Personality Detection](https://mlsanity.com/paper/2106.04963/) (2021)
- [Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection](https://mlsanity.com/paper/2504.05411/) (2025)
- [Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives](https://mlsanity.com/paper/2404.15067/) (2024)
- [LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection](https://mlsanity.com/paper/2504.02146/) (2025)
- [Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection](https://mlsanity.com/paper/2408.08551/) (2024)
- [Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter](https://mlsanity.com/paper/2109.06402/) (2021)
- [Myers-Briggs personality classification from social media text using pre-trained language models](https://mlsanity.com/paper/2207.04476/) (2022)
- [Personality Profiling: How informative are social media profiles in predicting personal information?](https://mlsanity.com/paper/2309.13065/) (2023)
- [An Attention-Based Denoising Framework for Personality Detection in Social Media Texts](https://mlsanity.com/paper/2311.09945/) (2023)
- [HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection](https://mlsanity.com/paper/2510.09893/) (2025)
- [Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing](https://mlsanity.com/paper/2105.11798/) (2021)
- [Is Personality Prediction Possible Based on Reddit Comments?](https://mlsanity.com/paper/2408.16089/) (2024)
- [Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference](https://mlsanity.com/paper/2511.00115/) (2025)
- [Ask, Answer, and Detect: Role-Playing LLMs for Personality Detection with Question-Conditioned Mixture-of-Experts](https://mlsanity.com/paper/2512.08814/) (2025)
- [From Classification to Ranking: Enhancing LLM Reasoning Capabilities for MBTI Personality Detection](https://mlsanity.com/paper/2601.18582/) (2026)
- [Do Personality-Tuned LLMs Make Better Social Agents?](https://mlsanity.com/paper/2609.21857/) (2026)

## Abstract (arXiv)

The Myers-Briggs Type Indicator (MBTI) is a popular personality metric that uses four dichotomies as indicators of personality traits. This paper examines the use of pre-trained language models to predict MBTI personality types based on scraped labeled texts. The proposed model reaches an accuracy of 0.47 for correctly predicting all 4 types and 0.86 for correctly predicting at least 2 types. Furthermore, we investigate the possible uses of a fine-tuned BERT model for personality-specific language generation. This is a task essential for both modern psychology and for intelligent empathetic systems.