[HTML][HTML] Emotion detection for misinformation: A review
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 …
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
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 …
applications in various fields. The increasing popularity of social networks and growth and …
Linear representations of sentiment in large language models
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 …
sentiment is represented within Large Language Models (LLMs). In this study, we reveal that …
Arabic ChatGPT tweets classification using RoBERTa and BERT ensemble model
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 …
popularity and impressive performance in many natural language processing tasks …
Comprehensive review and comparative analysis of transformer models in sentiment analysis
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 …
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
Qualitative research delves deeply into individual complex perspectives on technology and
various phenomena. However, a meticulous analysis of qualitative data often requires a …
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
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
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
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 …
true intentions and the content they explicitly present. With the exponential increase in …
Confidence-aware sentiment quantification via sentiment perturbation modeling
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 …
reviews corresponding to a target. Existing methods equally treat and aggregate individual …
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 …