Data analytics for discourse analysis with Python—The case of therapy talk. Dennis Tay.

The article discusses the application of data analytics to discourse analysis, focusing on the field of (Critical) Discourse Studies. It highlights the book "Data Analytics for Discourse Analysis with Python" by Dennis Tay, which offers insights and tools for researchers in this domain. The book cov...

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Published in:Digital Scholarship in the Humanities Vol. 39; no. 4; pp. 1164 - 1168
Main Author: Liu, Yufeng
Format: Article
Published: Oxford University Press / USA Dec2024
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Data analytics for discourse analysis with Python—The case of therapy talk. Dennis Tay.
      aug:
        au: Liu, Yufeng
        affil: Department of Linguistics and English Language, Lancaster University, United Kingdom
      su:
        Language models
        Data analytics
        Time series analysis
        Supervised learning
        Monte Carlo method
        Discourse analysis
        Hierarchical clustering (Cluster analysis)
        Berries
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          Language models
          Data analytics
          Time series analysis
          Supervised learning
          Monte Carlo method
          Discourse analysis
          Hierarchical clustering (Cluster analysis)
          Berries
      ab: The article discusses the application of data analytics to discourse analysis, focusing on the field of (Critical) Discourse Studies. It highlights the book "Data Analytics for Discourse Analysis with Python" by Dennis Tay, which offers insights and tools for researchers in this domain. The book covers various data analytics techniques, such as simulation, cluster analysis, classification, and time series analysis, with a specific focus on psychotherapy talk as a case study. While the book provides valuable methodological guidance, it also acknowledges some limitations and recommends supplementary resources for further exploration.
      pubtype: Academic Journal
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      src: R
    language: English
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