Results 211 to 220 of about 13,126 (249)

Female gender and autism: underdiagnosis and misdiagnosis - clinical and scientific urgency. [PDF]

Front Psychiatry
Minutoli R, Marraffa C, Failla C, Pioggia G, Marino F.   +4 more
europepmc   +1 more source

What Do Content Moderators Do? Emotion Work and Control on a Digital Health Platform

Journal of Management Studies, EarlyView.
Abstract Content moderation determines the type of data displayed on platforms. Although this type of work is conducted online without interpersonal interactions, it does not remain emotionless. This article presents findings from a longitudinal qualitative study of how content moderation is conducted on a UK‐based platform that publishes patients ...
Dimitra Petrakaki, Andreas Kornelakis
wiley   +1 more source

Integrating commonsense knowledge with GPT embeddings for emotion classification. [PDF]

MethodsX
Yadav U, Dasarwar P, Asudani D.
europepmc   +1 more source

Scientific reports multi relational dual attention graph transformer for fine grained sentiment analysis. [PDF]

Sci Rep
Anilkumar AP, Kim SK, Yoon YC.
europepmc   +1 more source

Age Differences in Mental State Inference of Sarcasm: Contributions of Facial Emotion Recognition and Cognitive Performance. [PDF]

J Gerontol B Psychol Sci Soc Sci
Hughes C, Pehlivanoglu D, Heemskerk A, Polk R, Turner GR, Ebner NC, Spreng RN.   +6 more
europepmc   +1 more source

A novel and efficient personalized stress detection technique using a deep learning model. [PDF]

Sci Rep
Srinivasarao U, Rathnamma G, Kumar MS, Anantha L, Donthi RK, Rani TJ.   +5 more
europepmc   +1 more source

Triaging Casual From Critical-Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study. [PDF]

JMIR Ment Health
Qadir S, Alsoubai A, Park JK, Ali NS, Choudhury M, Wisniewski P.   +5 more
europepmc   +1 more source

Leveraging deep learning to combat cyberbullying on social media.

Ind Psychiatry J
Vijayarani M, Balamurugan G, Govindan R, Sevak S.   +3 more
europepmc   +1 more source

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Sarcasm Detection Algorithms

International Journal of Semantic Computing, 2018
In this paper, we want to review one of the challenging problems for the opinion mining task, which is sarcasm detection. To be able to do that, many researchers tried to explore such properties in sarcasm like theories of sarcasm, syntactical properties, psycholinguistic of sarcasm, lexical feature, semantic properties, etc.
Ibisoglu, Taha Yasin, YAVANOĞLU, URAZ, Wicana, Setra Genyang   +2 more
openaire   +2 more sources

Mimicking the Brain’s Cognition of Sarcasm From Multidisciplines for Twitter Sarcasm Detection

IEEE Transactions on Neural Networks and Learning Systems, 2023
Sarcasm is a sophisticated construct to express contempt or ridicule. It is well-studied in multiple disciplines (e.g., neuroanatomy and neuropsychology) but is still in its infancy in computational science (e.g., Twitter sarcasm detection).
Fanglong Yao, Xian Sun, Hongfeng Yu, Wenkai Zhang, Wei Liang, Kun Fu   +5 more
openaire   +2 more sources