Results 51 to 60 of about 72,126 (279)
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
"With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition
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
‘These reforms have teeth’: The affective dimensions of teacher education policy enactment
Abstract The affective dimensions of education policy enactment have often received less attention in the research literature, especially regarding teacher education policy. This article reports on a study of the affective responses of university‐based teacher educators in England to the significant initial teacher education reforms of 2019–2022: the ...
Ian Cushing, Viv Ellis
wiley +1 more source
Background: This research is conducted by analyzing figurative language as irony and sarcasm in the novel entitled The Return of Sherlock Holmes (TROSH) and its translation in Bahasa Indonesia.
Irene Dinari +2 more
doaj +1 more source
Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?
Sarcasm is a sophisticated form of speech used to convey a message other than the apparent one. To date, there are numerous papers that have discussed the idea of automatic sarcasm detection and how it could be used for sentiment analysis improvement ...
Mondher Bouazizi, Tomoaki Ohtsuki
doaj +1 more source
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
NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment analysis and related tasks, researchers have therefore used binarized emoticons and specific hashtags as forms of distant supervision.
Felbo, Bjarke +4 more
core +1 more source
Current Trends and Future Research in Management Control for Sustainability in Retail
ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley +1 more source
Deriving Verb Predicates By Clustering Verbs with Arguments [PDF]
Hand-built verb clusters such as the widely used Levin classes (Levin, 1993) have proved useful, but have limited coverage. Verb classes automatically induced from corpus data such as those from VerbKB (Wijaya, 2016), on the other hand, can give clusters
Rouhizadeh, Masoud +4 more
core
Digital Rights Activism in Multilevel Governance
ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley +1 more source

