Data Analytics for Discourse Analysis with Python

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