# Recent Trends in Deep Learning Based Personality Detection

arXiv: https://arxiv.org/abs/1908.03628 · HTML: https://mlsanity.com/paper/1908.03628/

## Key facts

- Cited by 29 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Aug 2019.

## Built on by (most cited first, 29 of 29)

- [MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare](https://mlsanity.com/paper/2110.15621/) (2021)
- [Estimating the Personality of White-Box Language Models](https://mlsanity.com/paper/2204.12000/) (2022)
- [Levels of explainable artificial intelligence for human-aligned conversational explanations](https://mlsanity.com/paper/2107.03178/) (2021)
- [A Survey on Personality-Aware Recommendation Systems](https://mlsanity.com/paper/2101.12153/) (2021)
- [Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions](https://mlsanity.com/paper/2109.09487/) (2021)
- [Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection](https://mlsanity.com/paper/2212.01515/) (2022)
- [An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works](https://mlsanity.com/paper/2103.03081/) (2021)
- [Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features](https://mlsanity.com/paper/2204.04629/) (2022)
- [Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey](https://mlsanity.com/paper/2207.10574/) (2022)
- [Continuous Output Personality Detection Models via Mixed Strategy Training](https://mlsanity.com/paper/2406.16223/) (2024)
- [Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives](https://mlsanity.com/paper/2301.10761/) (2023)
- ["Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding](https://mlsanity.com/paper/2505.15700/) (2025)
- [Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset](https://mlsanity.com/paper/2503.12912/) (2025)
- [PsyAttention: Psychological Attention Model for Personality Detection](https://mlsanity.com/paper/2312.00293/) (2023)
- [Multitask Learning for Emotion and Personality Detection](https://mlsanity.com/paper/2101.02346/) (2021)
- [Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications](https://mlsanity.com/paper/2102.00827/) (2021)
- [Inferred vs traditional personality assessment: are we predicting the same thing?](https://mlsanity.com/paper/2103.09632/) (2021)
- [Personalized Interventions for Online Moderation](https://mlsanity.com/paper/2205.09462/) (2022)
- [Twenty Years of Personality Computing: Threats, Challenges and Future Directions](https://mlsanity.com/paper/2503.02082/) (2025)
- [Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals](https://mlsanity.com/paper/2505.12114/) (2025)
- [Personality Detection and Analysis using Twitter Data](https://mlsanity.com/paper/2309.05497/) (2023)
- [Selective Capability Unlearning in End-to-End Spoken Language Understanding](https://mlsanity.com/paper/2606.24063/) (2026)
- [Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?](https://mlsanity.com/paper/2110.05035/) (2021)
- [Relationship Between Online Harmful Behaviors and Social Network Message Writing Style](https://mlsanity.com/paper/2212.07526/) (2022)
- [Personality Detection of Applicants And Employees Using K-mode Algorithm And Ocean Model](https://mlsanity.com/paper/2212.14675/) (2022)
- [Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images](https://mlsanity.com/paper/2504.10662/) (2025)
- [Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition](https://mlsanity.com/paper/2510.14203/) (2025)
- [HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction](https://mlsanity.com/paper/2605.17355/) (2026)
- [PTEI: Integrating Personality Traits to Enhance Emotional Intelligence in Large Language Models](https://mlsanity.com/paper/2607.10245/) (2026)

## Abstract (arXiv)

Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review significant machine learning models which have been employed for personality detection, with an emphasis on deep learning-based methods. This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches. Personality detection is a very broad and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on personality detection.