Sentiment analysis in the era of large language models: A reality check
Sentiment analysis (SA) has been a long-standing research area in natural language
processing. It can offer rich insights into human sentiments and opinions and has thus seen …
processing. It can offer rich insights into human sentiments and opinions and has thus seen …
Through the lens of core competency: Survey on evaluation of large language models
From pre-trained language model (PLM) to large language model (LLM), the field of natural
language processing (NLP) has witnessed steep performance gains and wide practical …
language processing (NLP) has witnessed steep performance gains and wide practical …
The iron (ic) melting pot: Reviewing human evaluation in humour, irony and sarcasm generation
Human evaluation is often considered to be the gold standard method of evaluating a
Natural Language Generation system. However, whilst its importance is accepted by the …
Natural Language Generation system. However, whilst its importance is accepted by the …
A comprehensive survey of contemporary Arabic sentiment analysis: Methods, Challenges, and Future Directions
Z Shi, R Agrawal - arxiv preprint arxiv:2502.03827, 2025 - arxiv.org
Sentiment Analysis, a popular subtask of Natural Language Processing, employs
computational methods to extract sentiment, opinions, and other subjective aspects from …
computational methods to extract sentiment, opinions, and other subjective aspects from …
A Construction Method of Hyperbolic Representation Lexicon Oriented to Chinese Ironic Text
G Zhu, S Li, J Li, W Duan, R Zhou, KC Li… - IEEE …, 2024 - ieeexplore.ieee.org
Irony detection aims to analyze and identify language expressions containing irony in texts,
which can assist text sentiment analysis and opinion mining. Hyperbolic expressions are the …
which can assist text sentiment analysis and opinion mining. Hyperbolic expressions are the …
I'm sure you're a real scholar yourself: Exploring Ironic Content Generation by Large Language Models
Generating ironic content is challenging: it requires a nuanced understanding of context and
implicit references and balancing seriousness and playfulness. Moreover, irony is highly …
implicit references and balancing seriousness and playfulness. Moreover, irony is highly …
Irony Detection, Reasoning and Understanding in Zero-shot Learning
P Yi, Y **a - arxiv preprint arxiv:2501.16884, 2025 - arxiv.org
Irony is a powerful figurative language (FL) on social media that can potentially mislead
various NLP tasks, such as recommendation systems, misinformation checks, and sentiment …
various NLP tasks, such as recommendation systems, misinformation checks, and sentiment …
" My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise
Humblebragging is a phenomenon where individuals present self-promotional statements
under the guise of modesty or complaints. For example, a statement like," Ugh, I can't …
under the guise of modesty or complaints. For example, a statement like," Ugh, I can't …
Automatic Detection of Irony Based on Acoustic Features and Facial Expressions
U Kochetkova, P Skrelin, V Evdokimova… - … Conference on Speech …, 2024 - Springer
The current study deals with the automatic analysis of verbal irony using artificial neural
networks. Detection of verbal irony is an important task nowadays, because the …
networks. Detection of verbal irony is an important task nowadays, because the …
Classification de tweets en situation d'urgence pour la gestion de crises
R Meunier, L Moudjari, F Benamara… - 18e Conférence en …, 2023 - hal.science
Le traitement de données provenant de réseaux sociaux en temps réel est devenu une outil
attractifdans les situations d'urgence, mais la surcharge d'informations reste un défi à …
attractifdans les situations d'urgence, mais la surcharge d'informations reste un défi à …