A review on emotion detection by using deep learning techniques
Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
Evaluating subjective cognitive appraisals of emotions from large language models
The emotions we experience involve complex processes; besides physiological aspects,
research in psychology has studied cognitive appraisals where people assess their …
research in psychology has studied cognitive appraisals where people assess their …
SRL4E–Semantic Role Labeling for Emotions: A unified evaluation framework
In the field of sentiment analysis, several studies have highlighted that a single sentence
may express multiple, sometimes contrasting, sentiments and emotions, each with its own …
may express multiple, sometimes contrasting, sentiments and emotions, each with its own …
Transformers go for the LOLs: Generating (humourous) titles from scientific abstracts end-to-end
We consider the end-to-end abstract-to-title generation problem, exploring seven recent
transformer based models (including ChatGPT) fine-tuned on more than 30k abstract-title …
transformer based models (including ChatGPT) fine-tuned on more than 30k abstract-title …
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 …
[HTML][HTML] Differences in fear and negativity levels between formal and informal health-related websites: Analysis of sentiments and emotions
A Paradise Vit, A Magid - Journal of Medical Internet Research, 2024 - jmir.org
Background Searching for web-based health-related information is frequently performed by
the public and may affect public behavior regarding health decision-making. Particularly, it …
the public and may affect public behavior regarding health decision-making. Particularly, it …
Why do you feel this way? summarizing triggers of emotions in social media posts
Crises such as the COVID-19 pandemic continuously threaten our world and emotionally
affect billions of people worldwide in distinct ways. Understanding the triggers leading to …
affect billions of people worldwide in distinct ways. Understanding the triggers leading to …
Leveraging training dynamics and self-training for text classification
The effectiveness of pre-trained language models in downstream tasks is highly dependent
on the amount of labeled data available for training. Semi-supervised learning (SSL) is a …
on the amount of labeled data available for training. Semi-supervised learning (SSL) is a …
Knowledge distillation from monolingual to multilingual models for intelligent and interpretable multilingual emotion detection
Emotion detection from text is a crucial task in understanding natural language with wide-
ranging applications. Existing approaches for multilingual emotion detection from text face …
ranging applications. Existing approaches for multilingual emotion detection from text face …