使用Python进行话语分析的数据分析：治疗谈话案例（True EPUB）

English | 2024 | ISBN: 9781003360292 | 165 pages | True EPUB | 2.28 MB

This concise volume, using examples of psychotherapy talk, showcases the potential applications of data analytics for advancing discourse research and other related disciplines.

The book provides a brief primer on data analytics, defined as the science of analyzing raw data to reveal new insights and support decision making. Currently underutilized in discourse research, Tay draws on the case of psychotherapy talk, in which clients’ concerns are worked through via verbal interaction with therapists, to demonstrate how data analytics can address both practical and theoretical concerns. Each chapter follows a consistent structure, offering a streamlined walkthrough of a key technique, an example case study, and annotated Python code. The volume shows how techniques such as simulations, classification, clustering, and time series analysis can address such issues as incomplete data transcripts, therapist–client (a)synchrony, and client prognosis, offering inspiration for research, training, and practitioner self-reflection in psychotherapy and other discourse contexts.

This volume is a valuable resource for discourse and linguistics researchers, particularly for those interested in complementary approaches to qualitative methods, as well as active practitioners.

英文| 2024 |国际标准图书编号：9781003360292 | 165页|真正的EPUB | 2.28 MB 这本简明的书使用了心理治疗谈话的例子，展示了数据分析在推进话语研究和其他相关学科方面的潜在应用。 本书简要介绍了数据分析，数据分析被定义为分析原始数据以揭示新见解并支持决策的科学。目前，Tay在话语研究中未得到充分利用，他借鉴了心理治疗谈话的案例，在这个案例中，客户的担忧是通过与治疗师的口头互动来解决的，以展示数据分析如何解决实际和理论问题。每一章都遵循一致的结构，提供了一个关键技术的简化演练、一个示例案例研究和带注释的Python代码。本书展示了模拟、分类、聚类和时间序列分析等技术如何解决不完整数据记录、治疗师-客户（a）同步和客户预后等问题，为心理治疗和其他话语环境中的研究、培训和从业者自我反思提供了灵感。 这本书是话语和语言学研究人员的宝贵资源，特别是对那些对定性方法的补充方法感兴趣的人，以及积极的实践者。

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