Results 121 to 130 of about 2,787,876 (276)

Adjusting Our Thinking About Feeding Animals: Fiber as the Metric for Mimicking Natural Diets

Zoo Biology, EarlyView.
A typical effect of the change of an animal group to a diet higher in fiber: juveniles keep growing, animals of ideal body weight maintain their weight, and obese individuals lose weight. ABSTRACT Free‐ranging animals often ingest markedly different diets than their counterparts under human care, whether companion animals, production animals, or zoo ...
Marcus Clauss, Geert P. J. Janssens, Oliver Pritchard Moore, Sarah Byrne, Marcin Przybyło   +4 more
wiley   +1 more source

Multi-models for Arabic sarcasm detection

Kuwait Journal of Science
Social media information is proliferating on the internet every day in various contexts. However, there is difficulty in using audio, especially in Arabic, due to a lack of resources and the nature of regional accents and their complexities.
Hany Mohamed El Katary, Ammar Mohammed, Yasser Abd El-Hamid, Lamiaa Fattouh   +3 more
doaj   +1 more source

Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts. [PDF]

Comput Intell Neurosci, 2022
Muaad AY, Jayappa Davanagere H, Benifa JVB, Alabrah A, Naji Saif MA, Pushpa D, Al-Antari MA, Alfakih TM.   +7 more
europepmc   +1 more source

Measuring New Venture Legitimacy: A Multi‐dimensional Approach Using Computational Textual Analysis

British Journal of Management, EarlyView.
Abstract Legitimacy is critical for the growth, survival and performance of ventures, yet efforts to measure legitimacy empirically typically focus on a single dimension of this multi‐dimensional construct. In this article, we develop a multi‐dimensional framework for measuring legitimacy using computational text analysis.
Ali Ghods, Antonin Ricard, Bénédicte Aldebert, Eric W. Schoon   +3 more
wiley   +1 more source

Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media. [PDF]

Entropy (Basel), 2021
Akula R, Garibay I.
europepmc   +1 more source

Playing the System: Electoral Bias in the 2024 UK General Election

The Political Quarterly, Volume 96, Issue 1, Page 65-73, January/March 2025.
Abstract The UK's 2024 general election was the least proportional of modern times. Labour's substantial parliamentary majority rested on the smallest ever winning party vote share. The Conservatives, meanwhile, suffered one of their worst ever results.
Charles Pattie, David Cutts
wiley   +1 more source

A multi-scale adaptive fusion model for multimodal sarcasm detection

Discover Computing
This paper proposes a multi-scale adaptive fusion sarcasm detection model (MSAF-SDM) to address the challenges of information complexity and insufficient inter-modal collaboration in multimodal sarcasm detection. The model integrates multi-level features
Huixin Wu, Yang Zang
doaj   +1 more source

SarcasmSense: A Novel Multitask Learning Framework for Vlog-Based Political Sarcasm and Irony Detection

IEEE Access
Sarcasm and irony are pervasive rhetorical devices in online political commentary and satire, often conveyed through complex, multimodal cues, such as exaggerated tone, facial expressions, and semantic incongruities.
Mohammad Shariful Islam, Md. Jalal Uddin Chowdhury, Md. Misbah Uddin Tareq, Tufayel Ahmed, Md. Aktarujjaman, Md. Shahab Uddin, Samah Alshathri, Ahmad Taher Azar, Walid El-Shafai   +8 more
doaj   +1 more source

John Gray: ‘Americanism’ and the Perversion of Post‐liberalism

The Political Quarterly, EarlyView.
Abstract This article will make the case for John Gray's inclusion in the canon of post‐liberals despite his protests to the contrary, and will argue that his peculiar post‐liberalism is important for its challenges to the dominance of liberalism as both a political culture and way of theorising the ends of politics based on the model of the American ...
Paul Kelly
wiley   +1 more source

HyRoBERTa: Hybrid Robustly Optimized BERT Approach Model for Sentiment and Sarcasm Detection in Post-Flood Social Media Analysis

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The detection problem is a crucial step in sentiment classification because it strengthens the validity and reliability of the model's interpretation of ambiguous text, especially in complex social contexts such as post-disaster public communication ...
Siti Yuliyanti, Aveny Septi Asriani, Vega Purwayoga, Zakwan Gusnadi   +3 more
doaj   +1 more source