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De Gruyter Mouton De Gruyter Data Analytics in Cognitive Linguistics Book

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Description

Explore the intersection of language science and modern data science with Data Analytics in Cognitive Linguistics: Methods and Insights. Published by De Gruyter Mouton as part of the Applications of Cognitive Linguistics (ACL) series, this volume provides a deep look into how empirical methods and convergent data sources transform the field of linguistics. This text examines the specific relationship between data analytics and statistical analysis. While statistical analysis often relies on preconceived hypotheses and controlled data, data analytics offers a way to explore unstructured data by integrating domain-specific knowledge. This distinction is vital for researchers looking to translate complex data into actionable insights. As cognitive linguistics moves toward more empirical frameworks, understanding these analytical methods becomes essential. This book serves as a valuable resource for scholars and students who need to navigate the differences between traditional statistics and the modern application of data analytics within linguistic research.

Key Features

Part of the Applications of Cognitive Linguistics (ACL) series, volume 41, providing specialized academic context.

Examines the transition of cognitive linguistics toward empirical methods and the use of convergent data sources.

Explains the distinction between standard statistical analysis and modern data analytics techniques.

Provides insights into how domain-specific knowledge can be used to interpret unstructured data.

Offers a framework for translating extracted data insights into practical, actionable research outcomes.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 May 2022
Listed Since
13 November 2019

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