Recent 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 …
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …
The neurobiology of emotion–cognition interactions: fundamental questions and strategies for future research
H Okon-Singer, T Hendler, L Pessoa… - Frontiers in human …, 2015 - frontiersin.org
Recent years have witnessed the emergence of powerful new tools for assaying the brain
and a remarkable acceleration of research focused on the interplay of emotion and …
and a remarkable acceleration of research focused on the interplay of emotion and …
[HTML][HTML] Who complies with the restrictions to reduce the spread of COVID-19?: Personality and perceptions of the COVID-19 situation
In 2020, many countries around the world created and enforced heavy restrictions geared
towards reducing the spread of the coronavirus (ie, COVID-19). In this study (N= 263), we …
towards reducing the spread of the coronavirus (ie, COVID-19). In this study (N= 263), we …
A revised writer (s)-within-community model of writing
S Graham - Educational Psychologist, 2018 - Taylor & Francis
This article presents a revised version of the writer (s)-within-community model of writing.
Writing is conceptualized as a social activity situated within specific writing communities …
Writing is conceptualized as a social activity situated within specific writing communities …
Amigos: A dataset for affect, personality and mood research on individuals and groups
JA Miranda-Correa, MK Abadi… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We present AMIGOS-A dataset for Multimodal research of affect, personality traits and mood
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …
A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
From data to causes I: Building a general cross-lagged panel model (GCLM)
This is the first paper in a series of two that synthesizes, compares, and extends methods for
causal inference with longitudinal panel data in a structural equation modeling (SEM) …
causal inference with longitudinal panel data in a structural equation modeling (SEM) …
Implementation of subjective cognitive decline criteria in research studies
Introduction Subjective cognitive decline (SCD) manifesting before clinical impairment could
serve as a target population for early intervention trials in Alzheimer's disease (AD). A …
serve as a target population for early intervention trials in Alzheimer's disease (AD). A …
How social support influences university students' academic achievement and emotional exhaustion: The mediating role of self-esteem
Improving the quality of life for students has become a major concern for educational
institutions. Using a sample of 262 university students (mean age 19.25 years) in China, this …
institutions. Using a sample of 262 university students (mean age 19.25 years) in China, this …
[图书][B] Research methodologies in translation studies
G Saldanha, S O'Brien - 2014 - taylorfrancis.com
As an interdisciplinary area of research, translation studies attracts students and scholars
with a wide range of backgrounds, who then need to face the challenge of accounting for a …
with a wide range of backgrounds, who then need to face the challenge of accounting for a …