Results 61 to 70 of about 2,787,876 (276)
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 +2 more
wiley +1 more source
Sarcasm Relation to Time: Sarcasm Detection with Temporal Features and Deep Learning
, 2022 Abstract This paper discusses a framework used to detect sarcasm in relation to time. It uses a set of deep learning extracted features (deep features) combined with a set of handcrafted features. The results of the experiments are positive in terms of Accuracy, Precision, Recall and F1-measure. The combination of features is classified using a
Md Saifullah Razali +4 more
openaire +2 more sources
British Educational Research Journal, EarlyView.Abstract Despite growing interest in the internationalisation of higher education, the experiences of international student parents, particularly international student mothers, remain largely marginalised in research and policy. This paper examines the emotional agency of international student mothers who leave their children behind in their home ...
Anh Ngoc Quynh Phan +2 more
wiley +1 more source
Knowing education in Thailand like a global expert organisation: Politics, context and data
British Educational Research Journal, EarlyView.Abstract Global expert organisations play increasingly significant roles in the way that education is understood and governed internationally, including by influencing the discourses through which education is conceptualised and shaping norms of what counts as success, failure, progress and the most desirable visions for the future.
Steve Puttick +6 more
wiley +1 more source
British Educational Research Journal, EarlyView.Abstract This article presents the first systematic review of scholarship applying Pierre Bourdieu's theoretical framework in New Zealand educational research, drawing on 30 peer‐reviewed studies published between 2000 and 2025. Following PRISMA guidelines, studies were coded for Bourdieusian concepts applied, depth of theoretical application ...
Liuning Yang
wiley +1 more source
Harnessing Context Incongruity for Sarcasm Detection [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2015 The relationship between context incongruity and sarcasm has been studied in linguistics. We present a computational system that harnesses context incongruity as a basis for sarcasm detection. Our statistical sarcasm classifiers incorporate two kinds of incongruity features: explicit and implicit. We show the benefit of our incongruity features for two
Aditya Joshi 0001 +2 more
openaire +1 more source
Sarcasm Detection in Tweets using Machine Learning
, 2019 <p>This is a machine learning project that aims at classifying the tweets as "sarcastic" or "non-sarcastic" using traditional machine learning methods.</p> <p>If you are interested in knowing more about the project,
Darshan Kasat
core +1 more source
British Educational Research Journal, EarlyView.Abstract Widening participation (WP) in higher education (HE) remains a central concern within UK educational and social policy. It seeks to address the underrepresentation of specific social groups by tailoring university access to their distinct needs.
Sarah McLaughlin, Richard Waller
wiley +1 more source
Detect Sarcasm and Humor Jointly by Neural Multi-Task Learning
IEEE AccessSarcasm is a sophisticated speech act that is intended to express contempt or ridicule on social communities such as Twitter. In recent years, the prevalence of sarcasm on the social media has become highly disruptive to sentiment analysis systems due to
Yufeng Diao +5 more
doaj +1 more source
Detecting Sarcasm in Multimodal Social Platforms [PDF]
Proceedings of the 24th ACM international conference on Multimedia, 2016 10 pages, 3 figures, final version published in the Proceedings of ACM Multimedia ...
SCHIFANELLA, ROSSANO +3 more
openaire +4 more sources