Abstract This study examines the under‐theorized political role and identity of Chinese international students, who emerge as significant actors caught between U.S. soft power ambitions and rising geopolitical suspicion. Amid escalating U.S.‐China tensions, these students are forced to confront environments shaped by competing geopolitical discourses ...
Jing Yu
wiley +1 more source
A systematic pipeline for diagnosing and reducing gender-stereotype bias in Japanese PLMs for sentiment analysis. [PDF]
Liu Y, Li Z.
europepmc +1 more source
Abstract The mental health and wellbeing of young people has received increasing attention in both research and the wider public discourse. There has been a marked rise in mental health conditions in young people, and the burden of care is increasingly transferred onto schools and teachers.
Thomas Godfrey‐Faussett +6 more
wiley +1 more source
An ensemble-based sentiment analysis approach for precision medicine recommendation. [PDF]
Mishra A +4 more
europepmc +1 more source
Flexible working and professional relationships in schools: An ecological approach
Abstract In English schools, the policy environment has recently moved considerably in favour of teachers taking planning, preparation and assessment (PPA) time away from the school site as one approach to flexible working in support of teacher retention.
Victoria Cook +3 more
wiley +1 more source
Analyzing digital consumer insights through RoBERTa LLM based sentiment analysis and topic modeling. [PDF]
Shasha Q.
europepmc +1 more source
A hybrid framework for notebook market analysis: Integrating social media sentiment mining with expert knowledge for feature prioritization. [PDF]
Maghsoudi M, Bakhtiari M, Bakhtiari H.
europepmc +1 more source
Enhancing products performance evaluation through hybrid DistilRoBERTa and BiGRU models. [PDF]
Ullah S +6 more
europepmc +1 more source
TDGN: A text-guided dual-gated network for multimodal sentiment analysis. [PDF]
Xiao W, Zhang L, Xu Y.
europepmc +1 more source
Exploring the antecedents of tourist satisfaction: A big data analysis of ice and snow tourism destinations. [PDF]
Wang S, Chen S, Guan Q.
europepmc +1 more source

