Data Analytics in Cognitive Linguistics : : Methods and Insights / / ed. by Dennis Tay, Molly Xie Pan.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
• MitwirkendeR: Dilkes, Jane,; Dunn, Jonathan,; Franco, Karlien,; Fuoli, Matteo,; Heylen, Kris,; Montes, Mariana,; Qiu, Han,; Speelman, Dirk,; Tay, Dennis,; Tian, Xiaoyu,; Winter, Bodo,; Xie Pan, Molly,; Zhang, Weiwei,
• HerausgeberIn: Pan, Molly Xie,; Tay, Dennis,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter Mouton, , [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Series: Applications of Cognitive Linguistics [ACL] , 41
• Physical Description: 1 online resource (VI, 346 p.)
• Other title: Frontmatter --; Contents --; Data analytics in cognitive linguistics --; Mapping the landscape of exploratory and confirmatory data analysis in linguistics --; Time series analysis with python --; Structural equation modeling in R: A practical introduction for linguists --; Visualizing distributional semantics --; Lectal variation in Chinese analytic causative constructions: What trees can and cannot tell us --; Personification metaphors in Chinese video ads: Insights from data analytics --; The interaction between metaphor use and psychological states: A mix-method analysis of trauma talk in the Chinese context --; Prospecting for metaphors in a large text corpus: Combining unsupervised and supervised machine learning approaches --; Cognitive linguistics meets computational linguistics: Construction grammar, dialectology, and linguistic diversity --; What Cognitive Linguistics can learn from dialectology (and vice versa) --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110687279; 9783110766820; 9783110993899; 9783110994810; 9783110993707; 9783110993684; 9783110791297
• ISSN: 1861-4078
• DOI: 10.1515/9783110687279
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Dennis Tay, Molly Xie Pan.

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.