Results 111 to 120 of about 13,126 (249)

Multimodal Chinese Sarcasm Detection Integrating Audio Attributes and Textual Features

Applied Sciences
Sarcasm often arises from subtle contrasts between literal meaning and speaker intention. As online communication increasingly includes voice-based content, detecting sarcasm across speech and text becomes more important—and more complex.
Huixin Wu, Yang Zang, Limeng Zhao, Hongyang Zhou   +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

‘A Sort of Armed Argument’: Ireland's Civil War of Words

History, EarlyView.
Abstract This article sets out to contribute to the study of the languages of European civil wars through outlining and analysing the deployment of language as a weapon by the opposing sides of the Irish independence movement that split over the terms of the Anglo‐Irish Treaty of December 1921.
DONAL Ó DRISCEOIL
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

Toward a Critique of Critique: Paradoxes of Byung‐Chul Han and the Dialectic of Despair and Possibility

Constellations, EarlyView.
İbrahim Berkan Karataş
wiley   +1 more source

‘Mere Amateurs’? Elementary Teachers and the Making of Scientific Authority in the British Child Study Movement

History, EarlyView.
Abstract This article offers new perspectives on the relationship between elementary teaching, scientific expertise and the professionalization of the human sciences. Previous scholarship has demonstrated the ready existence of ‘amateur’ science societies in the nineteenth century where cross‐class exchanges were common.
Julia Gustavsson
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

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

Writing Against the Machine: Computational Authorship and Historical Writing

History, EarlyView.
Abstract Historians generate knowledge through the labour of composition – through the friction between interpretation and evidence that makes claims open to scrutiny and challenge. This essay argues that when composition is bypassed, that structure disappears. Generative AI raises this issue in urgent fashion.
CHRISTOPHER GERTEIS
wiley   +1 more source

THE AESTHETICS OF URBAN METABOLISM: Landscape, Design and the Politics of In/Visibility

International Journal of Urban and Regional Research, EarlyView.
Abstract In this article, we chart the evolving aesthetic contours of urban metabolism across London, focusing on the River Lea and Thamesmead to the north and south of the River Thames, respectively. We begin in the nineteenth century, when these two sites formed critical nodes within a new sewerage system that relegated the city’s circulatory flows ...
Ben Platt, Zuhri James
wiley   +1 more source