Data Analytics in Cognitive Linguistics: Methods and Insights: 41 (Applications of Cognitive Linguistics [ACL], 41) - Tapa dura
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Sinopsis
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.
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Acerca del autor
Dennis Tay and Molly Xie Pan, The Hong Kong Polytechnic University, Hong Kong.
De la contraportada
Contemporary data analytics involves extracting insights from large volumes of data and translating these insights into action to enhance knowledge and practice. Combining tutorial-style chapters and empirical studies, this collection of papers explains the distinction between data analytics and statistics as typically conceived, and shows how data analytic approaches can inform different areas of cognitive linguistic research and application.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Hardback. Condición: New. 1st. 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. Nº de ref. del artículo: LU-9783110687156
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Condición: New. Dennis Tay, The Hong Kong Polytechnic University, Hong Kong Molly Xie Pan, Fudan University, Shanghai. .| Dennis Tay, The Hong Kong Polytechnic University, Hong Kong Molly Xie Pan. Nº de ref. del artículo: 359142595
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ISBN 10: 3110687151
ISBN 13: 9783110687156
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Hardback. Condición: New. 1st. 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. Nº de ref. del artículo: LU-9783110687156
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