Data Analytics in Cognitive Linguistics: Methods and Insights - Couverture souple

Couverture souple

ISBN 10 : 311135346X ISBN 13 : 9783111353463

Editeur : De Gruyter Mouton, 2023

Synopsis

Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions.

This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike.

A propos du livre

À propos de l?auteur

Dennis Tay, The Hong Kong Polytechnic University, Hong Kong; Molly Xie Pan, Fudan University, Shanghai.

Détails de l'édition

• Éditeur: De Gruyter Mouton
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 311135346X
• ISBN 13: 9783111353463
• Reliure: Broché
• Nombre de pages: 352
• Éditeur: Tay Dennis, Pan Molly Xie
• Coordonnées du fabricant: productsafety@degruyterbrill.com; productsafety@degruyterbrill.com; ; Theaterstraße 13; Göttingen; 37073; Allemagne