[HTML][HTML] Support over social media among socially isolated sexual and gender minority youth in rural US during the COVID-19 pandemic: opportunities for intervention …
S Karim, S Choukas-Bradley, A Radovic… - International Journal of …, 2022 - mdpi.com
Sexual and gender minority (SGM) rural adolescents are at risk for higher levels of social
isolation, a well-known risk factor for depression and other negative health outcomes. We …
isolation, a well-known risk factor for depression and other negative health outcomes. We …
Dimensional emotion detection from categorical emotion
We present a model to predict fine-grained emotions along the continuous dimensions of
valence, arousal, and dominance (VAD) with a corpus with categorical emotion annotations …
valence, arousal, and dominance (VAD) with a corpus with categorical emotion annotations …
Uncovering the limits of text-based emotion detection
N Alvarez-Gonzalez, A Kaltenbrunner… - arXiv preprint arXiv …, 2021 - arxiv.org
Identifying emotions from text is crucial for a variety of real world tasks. We consider the two
largest now-available corpora for emotion classification: GoEmotions, with 58k messages …
largest now-available corpora for emotion classification: GoEmotions, with 58k messages …
[HTML][HTML] Machine learning-based guilt detection in text
We introduce a novel Natural Language Processing (NLP) task called guilt detection, which
focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has …
focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has …
On the potential of mediation chatbots for mitigating multiparty privacy conflicts-a wizard-of-Oz study
K Salehzadeh Niksirat, D Korka, H Harkous… - Proceedings of the …, 2023 - dl.acm.org
Sharing multimedia content, without obtaining consent from the people involved causes
multiparty privacy conflicts (MPCs). However, social-media platforms do not proactively …
multiparty privacy conflicts (MPCs). However, social-media platforms do not proactively …
[HTML][HTML] TERMS: textual emotion recognition in multidimensional space
Y Ghafoor, S Jinping, FH Calderon, YH Huang… - Applied …, 2023 - Springer
Microblogs generate a vast amount of data in which users express their emotions regarding
almost all aspects of everyday life. Capturing affective content from these context-dependent …
almost all aspects of everyday life. Capturing affective content from these context-dependent …
Demonstrating the reliability of self-annotated emotion data
Vent is a specialised iOS/Android social media platform with the stated goal to encourage
people to post about their feelings and explicitly label them. In this paper, we study a …
people to post about their feelings and explicitly label them. In this paper, we study a …
Guilt Detection in Text: A Step Towards Understanding Complex Emotions
We introduce a novel Natural Language Processing (NLP) task called Guilt detection, which
focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has …
focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has …
GuReT: Distinguishing Guilt and Regret related Text
The intricate relationship between human decision-making and emotions, particularly guilt
and regret, has significant implications on behavior and well-being. Yet, these emotions …
and regret, has significant implications on behavior and well-being. Yet, these emotions …
Leveraging the power of transformers for guilt detection in text
In recent years, language models and deep learning techniques have revolutionized natural
language processing tasks, including emotion detection. However, the specific emotion of …
language processing tasks, including emotion detection. However, the specific emotion of …