Results 51 to 60 of about 13,254 (269)
Detecting Sarcasm is Extremely Easy ;-) [PDF]
Proceedings of the Workshop on Computational Semantics beyond Events and Roles, 2018 Detecting sarcasm in text is a particularly challenging problem in computational semantics, and its solution may vary across different types of text. We analyze the performance of a domain-general sarcasm detection system on datasets from two very different domains: Twitter, and Amazon product reviews.
Natalie Parde, Rodney Nielsen
openaire +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 +2 more
core +1 more source
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
Alexandria Engineering JournalSarcasm is a type of communication designed to harass or mock an individual using words against their accurate meaning. It signifies a negative sentiment but a positive sentiment.
Wala bin Subait +7 more
doaj +1 more source
ConStance: Modeling Annotation Contexts to Improve Stance Classification
, 2017 Manual annotations are a prerequisite for many applications of machine learning. However, weaknesses in the annotation process itself are easy to overlook.
Friedland, Lisa +4 more
core +1 more source
‘These reforms have teeth’: The affective dimensions of teacher education policy enactment
British Educational Research Journal, EarlyView.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
Journal of King Saud University: Computer and Information Sciences, 2022 This paper investigates negative sentiment tweets with the presence of hyperboles for sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets comprising #Chinesevirus, #Kungflu, #COVID19, #Hantavirus and #Coronavirus were ...
Vithyatheri Govindan +1 more
doaj +1 more source
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
, 2017 Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical cues and therefore believe the news as true news. We observe that satirical
Dragut, Eduard +2 more
core +1 more source
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
, 2017 Given the increasing popularity of customer service dialogue on Twitter, analysis of conversation data is essential to understand trends in customer and agent behavior for the purpose of automating customer service interactions.
Austin J. L. +12 more
core +1 more source