Papers Personality Trait Recognition
“Personality Trait Recognition” 태그가 달린 논문 13편 · 필터 해제
Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues
Personality recognition aims to identify the personality traits implied in user data such as dialogues and social media posts. Current research predominantly treats personality recognition as a classification task, faili…
Personality Trait RecognitionA Synthetic Dataset for Personal Attribute Inference
Recently, powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide. However, their strong capabilities and vast world knowledge do not come without associated privac…
AttributeAuthor ProfilingPersonality Trait RecognitionPrivacy Preserving+3Personality Trait Recognition using ECG Spectrograms and Deep Learning
This paper presents an innovative approach to recognizing personality traits using deep learning (DL) methods applied to electrocardiogram (ECG) signals. Within the framework of detecting the big five personality traits …
Deep LearningPersonality Trait RecognitionOCEAN-AI framework with EmoFormer cross-hemiface attention approach for personality traits assessment
Psychological and neurological studies earlier suggested that a personality type can be determined by the whole face as well as by its sides. This article discusses novel research using deep neural networks that address …
Personality Trait RecognitionPersonality Trait Recognition by FaceCPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an importan…
Chinese Sentiment AnalysisConversational Response GenerationDialog Act ClassificationDialogue Generation+7Learning to Navigate Intersections with Unsupervised Driver Trait Inference
Navigation through uncontrolled intersections is one of the key challenges for autonomous vehicles. Identifying the subtle differences in hidden traits of other drivers can bring significant benefits when navigating in s…
Autonomous NavigationAutonomous VehiclesDeep Reinforcement LearningNavigate+2Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Human personality is significantly represented by those words which he/she uses in his/her speech or writing. As a consequence of spreading the information infrastructures (specifically the Internet and social media), hu…
Personality Trait RecognitionRecent Trends in Deep Learning Based Personality Detection
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…
BIG-bench Machine LearningDeep LearningPersonality Trait RecognitionModality-based Factorization for Multimodal Fusion
We propose a novel method, Modality-based Redundancy Reduction Fusion (MRRF), for understanding and modulating the relative contribution of each modality in multimodal inference tasks. This is achieved by obtaining an $(…
Emotion RecognitionPersonality Trait RecognitionSentiment AnalysisFirst Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the c…
Personality Trait RecognitionA Recurrent and Compositional Model for Personality Trait Recognition from Short Texts
Many methods have been used to recognise author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regression or Support Vector Machines. This work …
Feature EngineeringPart-Of-Speech TaggingPersonality Trait Recognitionregression+2A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Many methods have been used to recognize author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regression or Support Vector Machines. This work …
Author ProfilingFeature EngineeringPersonality Trait Recognitionregression+1Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
Here, we develop an audiovisual deep residual network for multimodal apparent personality trait recognition. The network is trained end-to-end for predicting the Big Five personality traits of people from their videos. T…
Facial Expression RecognitionFeature EngineeringPersonality Trait Recognition