[HTML][HTML] Emotion detection for misinformation: A review

Z Liu, T Zhang, K Yang, P Thompson, Z Yu… - Information …, 2024 - Elsevier
With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis

A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

Linear representations of sentiment in large language models

C Tigges, OJ Hollinsworth, A Geiger… - arxiv preprint arxiv …, 2023 - arxiv.org
Sentiment is a pervasive feature in natural language text, yet it is an open question how
sentiment is represented within Large Language Models (LLMs). In this study, we reveal that …

Arabic ChatGPT tweets classification using RoBERTa and BERT ensemble model

M Mujahid, K Kanwal, F Rustam, W Aljedaani… - ACM Transactions on …, 2023 - dl.acm.org
ChatGPT OpenAI, a large-language chatbot model, has gained a lot of attention due to its
popularity and impressive performance in many natural language processing tasks …

Comprehensive review and comparative analysis of transformer models in sentiment analysis

H Bashiri, H Naderi - Knowledge and Information Systems, 2024 - Springer
Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …

QualiGPT: GPT as an easy-to-use tool for qualitative coding

H Zhang, C Wu, J **e, CM Kim, JM Carroll - arxiv preprint arxiv …, 2023 - arxiv.org
Qualitative research delves deeply into individual complex perspectives on technology and
various phenomena. However, a meticulous analysis of qualitative data often requires a …

Affective computing in the era of large language models: A survey from the nlp perspective

Y Zhang, X Yang, X Xu, Z Gao, Y Huang, S Mu… - arxiv preprint arxiv …, 2024 - arxiv.org
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …

Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection

H Liu, R Wei, G Tu, J Lin, C Liu, D Jiang - Information Fusion, 2024 - Elsevier
Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …

Confidence-aware sentiment quantification via sentiment perturbation modeling

X Tang, D Liao, M Shen, L Zhu, S Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Sentiment Quantification aims to detect the overall sentiment polarity of users from a set of
reviews corresponding to a target. Existing methods equally treat and aggregate individual …

A review on emotion detection by using deep learning techniques

T Chutia, N Baruah - Artificial Intelligence Review, 2024 - Springer
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 …