User OCEAN Personality Model Construction Method Using a BP Neural Network

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

“…This provides valuable insights for studying the virality of Weibo content, especially when dealing with potential misinformation. Qin et al (2022) used Latent Dirichlet Allocation topic models to extract user text features and employed a feedback neural network to predict users' OCEAN (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) personality traits on social networks [45]. These studies highlight the significant role of neural networks in information dissemination, enriching the knowledge base in social media and providing a better understanding and response to the diversity and complexity of Weibo content propagation.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Digitization on the Dissemination of Traditional Chinese Music and Weibo Content Propagation Under Deep Learning

You

¹

2024

IEEE Access

3

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

“…One of the more mainstream research groups is the student group, and the data sources are generally social apps such as Weibo, b-station, WeChat, etc. For example, Qin et al ( 8 ) used the data of Weibo’s active users to categorize and predict the personality variables through the Big Five personality assessment scale. Liu et al ( 9 ) summarized the previous studies, obtained relevant data from microblogs, and constructed a suicide identifier through a hierarchical Support Vector Machine (SVM) model to provide early identification of high-risk student groups at risk of suicide, which effectively reduced the phenomenon of suicide.…”

Section: State Of the Artmentioning

confidence: 99%

Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence

Fu¹,

Ren

²

,

Lin

³

2025

Front. Public Health

4

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

Intelligent Decision Technologies

“…This allows optimization of information structures and raising of service accuracy, enriching users' online experiences. 2 Better insight into the target groups in such diverse fields as law enforcement agencies, institutional administrations, human resource departments, and advertisement companies has never been in greater demand. The identification of individual characteristics and the ability to predict personality traits are central to ensuring that decisions are made wittily.…”

Section: Motivationmentioning

confidence: 99%

“…In the paper "Exploring Personality Traits from User Behavior on Social Networking Platforms Using a Deep Learning Approach" by Qin et al 2022 the researchers investigated the relationship between user behavior in the use of social networking platforms and their personality traits through the application of the OCEAN model of personality. The proposed model utilized the LDA topic model for textual feature extraction on user interactions, which was used as sample inputs for a BP neural network.…”

Section: Literature Reviewmentioning

confidence: 99%

Advanced prediction of Myers-Briggs personality traits using hybrid CNN-LSTM models and textual data

Zhu¹

2025

1

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.