Time Series Analysis of Discourse

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Release : 2018-11-23
Genre : Language Arts & Disciplines
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Book Rating : 170/5 ( reviews)

Time Series Analysis of Discourse - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time Series Analysis of Discourse write by Dennis Tay. This book was released on 2018-11-23. Time Series Analysis of Discourse available in PDF, EPUB and Kindle. This volume serves as a comprehensive introduction to Time Series Analysis (TSA), used commonly in financial and engineering sciences, to demonstrate its potential to complement qualitative approaches in discourse analysis research. The book begins by discussing how time has previously been conceptualized in the literature, drawing on studies from variationist sociolinguistics, corpus linguistics, and Critical Discourse Analysis. The volume then segues into a discussion of how TSA is applied in other contexts in which observed values are expected to be dependent on earlier values, such as stock markets and sales figures, and introduces a range of discourse-specific contexts to show how the technique might be extended to analyze trends or shed further light on relevant themes in discourse over time. Each successive chapter features a different discourse context as a case study, from psychotherapy sessions, university lectures, and news articles, and looks at how studying different variables over time in each context – metaphors, involvement markers, and keywords, respectively – can contribute to a greater understanding of both present and future discourse activity in these settings. Taken together, this book highlights the value of TSA as a complementary approach to meaning-based analysis in discourse, making this ideal reading for graduate students and scholars in discourse analysis looking to employ quantitative methods in their research practice.

Data Analytics for Discourse Analysis with Python

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Release : 2024-04-19
Genre : Language Arts & Disciplines
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Book Rating : 694/5 ( reviews)

Data Analytics for Discourse Analysis with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics for Discourse Analysis with Python write by Dennis Tay. This book was released on 2024-04-19. Data Analytics for Discourse Analysis with Python available in PDF, EPUB and Kindle. 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.

Advances in Time Series Forecasting

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Release : 2012
Genre : Mathematics
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Book Rating : 733/5 ( reviews)

Advances in Time Series Forecasting - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Time Series Forecasting write by Cagdas Hakan Aladag. This book was released on 2012. Advances in Time Series Forecasting available in PDF, EPUB and Kindle. "Time series analysis is applicable in a variety of disciplines such as business administration, economics, public finances, engineering, statistics, econometrics, mathematics and actuarial sciences. Forecasting the future assists in critical organizationa"

Time-series Analysis

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Release : 1981
Genre : Time-series analysis
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Book Rating : /5 ( reviews)

Time-series Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time-series Analysis write by John Mordechai Gottman. This book was released on 1981. Time-series Analysis available in PDF, EPUB and Kindle.

Time Series Analysis, Modeling and Applications

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Release : 2012-11-29
Genre : Technology & Engineering
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Book Rating : 393/5 ( reviews)

Time Series Analysis, Modeling and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time Series Analysis, Modeling and Applications write by Witold Pedrycz. This book was released on 2012-11-29. Time Series Analysis, Modeling and Applications available in PDF, EPUB and Kindle. Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.