Stylistic and linguistic variations in compliments: an empirical analysis of children’s gender schema development with machine learning algorithms

Keyphrases

• Childrens 100%
• Confounding 33%
• Cross-gender 33%
• Discourse Pragmatics 33%
• Discourse Semantics 66%
• Discourse-pragmatic Features 33%
• Gender Ideology 33%
• Gender Norms 33%
• Gender Schema 100%
• Gender Schema Theory 33%
• Gender Variance 33%
• Gendered Self 33%
• Imitation 33%
• Language Features 33%
• Language Style 66%
• Lexical Features 33%
• Lexical Richness 33%
• Lexical Words 33%
• Linguistic Variation 100%
• Logistic Regression 33%
• Machine Learning Algorithms 100%
• Maleness 33%
• Mandarin-speaking children 33%
• Opposite-sex 66%
• Oral Discourse Completion Task 33%
• Preadolescent children 33%
• Prosocial 33%
• Schema Development 100%
• Semantic Level 66%
• Speaking Style 33%
• Style-shifting 33%
• Stylistic Variation 100%
• Word Choice 33%

Arts and Humanities

• Compliments 100%
• Design of Experiments 20%
• Discourse Completion Task (DCT) 20%
• discourse pragmatics 40%
• Discourse Semantics 40%
• Empirical 100%
• Intensifier 20%
• Language use 20%
• Lexical 60%
• Linguistic Variation 100%
• Manifestation 20%
• Oral 20%
• Positivity 20%
• Pre-adolescents 20%
• Schema Theory 20%
• Sentiment 20%
• Style 80%
• Style shifting 20%
• Stylistic variation 100%
• Traits 20%
• word choice 20%

Psychology

• Gender Schema Theory 50%
• Learning Algorithm 100%
• Preadolescent Child 50%