Results 41 to 50 of about 13,126 (249)

Contextualized Sarcasm Detection on Twitter

Proceedings of the International AAAI Conference on Web and Social Media, 2021
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual phenomenon.  Most computational approaches to sarcasm detection, however, treat it as a purely linguistic matter, using information such as lexical cues and their corresponding sentiment as predictive features.
David Bamman, Noah Smith
openaire   +1 more source

Cognitive Relationship-Based Approach for Urdu Sarcasm and Sentiment Classification

IEEE Access, 2023
Humans have a natural tendency to express their emotions, but they are also skilled at using sarcasm to shape their feelings. In cognitive computing and natural language processing research, sentiment analysis and sarcasm detection are typically treated ...
Muhammad Yaseen Khan, Tafseer Ahmed, Muhammad Shoaib Siddiqui, Shaukat Wasi   +3 more
doaj   +1 more source

Detecting Sarcasm in Multiple Modalities by Leveraging Sarcasm Type Correlations

IEEE Access
Sarcasm detection is essential for accurately interpreting communication in applications such as dialogue systems. However, most existing approaches treat sarcasm as a single phenomenon and ignore the linguistic distinction between illocutionary ...
Jeremy Chang, Chia-Yun Hsu, Chung-Hsien Wu   +2 more
doaj   +1 more source

CCSD:Topic-oriented Sarcasm Detection [PDF]

Jisuanji kexue
With the development of social media,an increasing number of people express their opinions about hot topics on social platforms,and the utilization of sarcastic expression has severely affected the accuracy of sentiment analysis in social media.Currently,
LIU Qilong, LI Bicheng, HUANG Zhiyong
doaj   +1 more source

"With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition

, 2018
Conversations in social media often contain the use of irony or sarcasm, when the users say the opposite of what they really mean. Irony markers are the meta-communicative clues that inform the reader that an utterance is ironic.
Ghosh, Debanjan, Muresan, Smaranda
core   +1 more source

On the Prospects for African Philosophy in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT This paper grapples with the situation of people of African descent in Australia by working through the constitution of the body of academic philosophy in the country. It contends with the parochialism of the Australian philosophical community and the prospects for the cultivation of greater pluralism. Taking African philosophy as one possible
Bryan Mukandi
wiley   +1 more source

The Politics of Framing the Student Problem: Inquiries Into Australian Civics Education, 2006–2024

Australian Journal of Social Issues, EarlyView.
ABSTRACT Recurring debates about civics, the kinds of history that should, and should not, be taught in school, and ‘standards debates’ about the ‘basics’ typically follow on the heels of recurring moral panics about the ‘declining’ state of ‘our’ education system.
Patrick O'Keeffe, Judith Bessant, Madeline Drake   +2 more
wiley   +1 more source

‘Let's talk about the weather’: The activist curriculum and global climate change education

British Educational Research Journal, EarlyView.
Abstract Activist movements have garnered significant global attention on a range of sustainability issues, often involving collectives of citizens coming together. Invoked is the idea of citizens informed to act, emerging not from a common‐sense understanding of everyday life, but rather from a deep political understanding of the world—one that is ...
Richard Pountney
wiley   +1 more source

Deep Learning for User Comment Moderation

, 2017
Experimenting with a new dataset of 1.6M user comments from a Greek news portal and existing datasets of English Wikipedia comments, we show that an RNN outperforms the previous state of the art in moderation.
Androutsopoulos, Ion, Malakasiotis, Prodromos, Pavlopoulos, John   +2 more
core   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source