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.

This collection highlights a range of perspectives on the emerging body of research on evolutionary pragmatics, expanding the borders of language evolution research and indicating exciting new directions for the future of the field. The volume adopts a broad view of pragmatics, providing a counterpoint to classical models of language evolution by exploring the ways in which the origins of language can be traced through the emergence of language structures from use in context. The book synthesizes different lines of inquiry, ranging from evolutionary linguistics to cognitive linguistics, philosophy, and cognitive pragmatics, among other fields, which foreground the impact of the environment on language and of language, through speaker use, on context. The volume is organized around three sections, each taking in turn a different dimension of evolutionary pragmatics research; the origins of language as seen in animal communication; a closer look at the use of language in interaction for the formation of communication channel and linguistic meaning; the role of cooperation and competition dynamics for the emergence of language structure. This book will be of particular interest to scholars in evolutionary linguistics, language origins, cognitive pragmatics, cognitive archaeology, and cognitive semiotics, as well as related areas in philosophy, psychology, and anthropology.

This book offers an illuminating exploration into the complex world of political communication in South Korea from 2016 to 2021. Through an in-depth analysis of 34 political conversations totalling over 275 hours, this book presents a groundbreaking interdisciplinary study combining quantitative and qualitative methods. It delves into the intricate design and strategic use of questions and answers in political dialogue, shedding light on the underlying rhetoric, strategy, and power dynamics. By examining the seismic shifts in South Korea's political landscape, including a major political scandal, the impeachment of the president, North–South relations, and the COVID-19 pandemic, this work presents a unique perspective on how political conversations shape, and are shaped by, societal and global events. It is a vital contribution to the study of Korean linguistics, offering tools and frameworks for analyzing political dialogue in a political setting. An indispensable resource for scholars and students in the fields of linguistics, political science, communication studies, and Asian studies, as well as political enthusiasts and professionals engaged in diplomatic and governmental sectors. It offers readers insights into the nuanced strategies of political discourse, enhancing their understanding of how language shapes politics and vice versa.

This book unpacks coordination in the context of the Strong Minimalist Thesis (SMT), offering a new proposal for addressing this longstanding puzzle within research on Generative Grammar. The volume’s foundations are rooted in the SMT, which builds on the idea that laws of nature, such as simplicity, symmetry, and computational efficiency, shape the laws of language to their simplest form, as units of computation combined with a recursive structure-building device. The book explores the two main ways in which Generative Grammar research has been undertaken to deal with the issue of coordination within SMT as examined in such linguistic expressions as conjuncts, which combine in an unstructured way, but which run counter to a strictly minimalist approach. Bode proposes an alternative account of coordination based on simplest set-formation without resorting to additional mechanisms, rooting it more squarely within SMT theory and encouraging further discussion on new directions for SMT-related research. This volume will be of interest to scholars in syntax and linguistic theory, particularly those interested in minimalist theory.

This book delves into Benjamin Franklin’s English, illustrating the variable nature of 18th-century American English and his stylistic manipulation of the potentiality of English. Utilizing corpus methodologies, it offers researchers in historical sociolinguistics unique insights. Benjamin Franklin is one of the Founding Fathers of the United States and while his achievements have been well established in the history of America, his linguistic activities have been explored only to a lesser extent. Iyeiri examines his letters and autobiography, which provide linguists with opportunities to study his language. The book is structured using the “form-to-function” framework. The first part focuses on different lexical items one by one, and can be read in the order readers want, whilst in the second part, Iyeiri stitches the arguments together, discussing various grammatical features across different lexical items. This book is a fantastic reference for students and scholars of historical linguistics, varieties of English, and World Englishes.

This book offers the first book-length treatment of the diachronic study of English exclamatives, tracing their development from 1500 through to the twenty-first century. The volume shines a light on independent wh-exclamatives in the history of English. In particular, Schröder calls attention to the development of three prototypical wh-exclamatives as observed in three newly created genre-balance corpora comprising prose fiction, dialogues, and personal correspondence, uncovering new insights into the differences in their evolution. In its analysis of English exclamatives over time and broader exploration of the impact of genre on constructional productivity, the book raises key questions about existing claims in scholarship on Diachronic Construction Grammar and outlines ways forward for new areas of inquiry. This volume will appeal to scholars interested in diachronic linguistics, historical syntax, language variation and change, and the history of English.

Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data

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.

"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 under-utilized 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 those interested in complementary approaches to qualitative methods, as well as active practitioners"--

Using Phyton and R, the author addresses multiple business challenge, including segmentation, brand positioning, product choice modeling, pricing research, finance, sprots, text analytics, sentiment analysis and social network analysis, cross sectional data, time series, spatial and spatio-temporal data.