| 1 |
Emotional Speech Recognition Using Deep Neural Networks
|
|
|
|
In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Evangelical Mental Health During A Pandemic: A Three-Way Interaction Analysis
|
|
|
|
In: Doctoral Dissertations and Projects (2022)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
The Association between Mothers’ Smartphone Dependency and Preschoolers’ Problem Behavior and Emotional Intelligence
|
|
|
|
In: Healthcare; Volume 10; Issue 2; Pages: 185 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
|
|
|
|
In: Biological psychiatry. Cognitive neuroscience and neuroimaging, vol 6, iss 9 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
ИНТЕРАКТИВНЫЕ МЕТОДЫ ОБУЧЕНИЯ КАК СПОСОБЫ ПОВЫШЕНИЯ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА ... : INTERACTIVE TEACHING METHODS AS WAYS TO INCREASE EMOTIONAL INTELLIGENCE ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Fühlen Denken Sprechen. Alltagsintegrierte Sprachbildung in Kindertageseinrichtungen ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Fühlen Denken Sprechen. Alltagsintegrierte Sprachbildung in Kindertageseinrichtungen
|
|
|
|
In: Münster ; New York : Waxmann 2021, 196 S. - (Sprachliche Bildung; 7) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Brain morphology predicts social intelligence in wild cleaner fish
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Evaluación del impacto de un proyecto de teatro musical en el desarrollo emocional y social de alumnos de primaria
|
|
|
|
BASE
|
|
Show details
|
|
|
| 10 |
DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning
|
|
|
|
In: Big Data and Cognitive Computing; Volume 5; Issue 4; Pages: 77 (2021)
|
|
Abstract:
Most current affect scales and sentiment analysis on written text focus on quantifying valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex negative emotions of similar valence is key to evaluating mental health. We propose a semi-supervised machine learning model, DASentimental, to extract depression, anxiety, and stress from written text. We trained DASentimental to identify how N = 200 sequences of recalled emotional words correlate with recallers’ depression, anxiety, and stress from the Depression Anxiety Stress Scale (DASS-21). Using cognitive network science, we modeled every recall list as a bag-of-words (BOW) vector and as a walk over a network representation of semantic memory—in this case, free associations. This weights BOW entries according to their centrality (degree) in semantic memory and informs recalls using semantic network distances, thus embedding recalls in a cognitive representation. This embedding translated into state-of-the-art, cross-validated predictions for depression (R = 0.7), anxiety (R = 0.44), and stress (R = 0.52), equivalent to previous results employing additional human data. Powered by a multilayer perceptron neural network, DASentimental opens the door to probing the semantic organizations of emotional distress. We found that semantic distances between recalls (i.e., walk coverage), was key for estimating depression levels but redundant for anxiety and stress levels. Semantic distances from “fear” boosted anxiety predictions but were redundant when the “sad–happy” dyad was considered. We applied DASentimental to a clinical dataset of 142 suicide notes and found that the predicted depression and anxiety levels (high/low) corresponded to differences in valence and arousal as expected from a circumplex model of affect. We discuss key directions for future research enabled by artificial intelligence detecting stress, anxiety, and depression in texts.
|
|
Keyword:
AI; artificial intelligence; cognitive data; cognitive network science; emotional recall; natural language processing; text analysis
|
|
URL: https://doi.org/10.3390/bdcc5040077
|
|
BASE
|
|
Hide details
|
|
|
| 12 |
It Works Without Words: A Nonlinguistic Ability Test of Perceiving Emotions with Job-Related Consequences
|
|
Blickle, G; Kranefeld, I; Wihler, A. - : Hogrefe / European Association of Psychological Assessment (EAPA) / International Association of Applied Psychology, 2021
|
|
BASE
|
|
Show details
|
|
|
| 13 |
The Effect of Individual Difference on the Continued Use of False Information: Intelligence and Personality
|
|
|
|
In: Brescia Psychology Undergraduate Honours Theses (2021)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Evaluación del impacto de un proyecto de teatro musical en el desarrollo emocional y social de alumnos de primaria
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Auto-observación e inteligencia emocional: estudio pragmático-discursivo del manejo de la impresión en narrativas personales
|
|
|
|
In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0717-1285, Nº. 51, 2021, pags. 137-162 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Exploring predictors of translation performance
|
|
|
|
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 13 , Iss 2 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Emotional Intelligence, Social Networking Skills and Online Counselling Communication Effectiveness Among Students of OAU, Ile-Ife, Nigeria
|
|
|
|
In: African Journal of Teacher Education; Vol. 10 No. 2 (2021); 37-52 ; 1916-7822 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Wirkzusammenhänge zwischen phonologischen Vorläuferfertigkeiten, emotionaler Kompetenz und Leseleistung. Empirische Befunde aus dem Projekt TRIO mit Kindern im Alter von 5 bis 7 Jahren
|
|
|
|
In: 2020, 89 S. - (Masterarbeit, Universität Kassel, 2020) (2020)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Wirkzusammenhänge zwischen phonologischen Vorläuferfertigkeiten, emotionaler Kompetenz und Leseleistung. Empirische Befunde aus dem Projekt TRIO mit Kindern im Alter von 5 bis 7 Jahren ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 20 |
ЭРИСТИЧЕСКОЕ РЕЧЕВОЕ ПОВЕДЕНИЕ: ПРОБЛЕМА делокутивного ИМИДЖА ... : ERISTIC SPEECH BEHAVIOR: THE PROBLEM OF DELOCUTIVE IMAGE ...
|
|
Тамразова И.Г.. - : НАУЧНЫЙ ЖУРНАЛ СОВРЕМЕННЫЕ ЛИНГВИСТИЧЕСКИЕ И МЕТОДИКО-ДИДАКТИЧЕСКИЕ ИССЛЕДОВАНИЯ, 2020
|
|
BASE
|
|
Show details
|
|
|
|
|
