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Recent Contributions to Quantitative Linguistics (Hardcover): Arjuna Tuzzi, Martina Benesova, Jan Macutek Recent Contributions to Quantitative Linguistics (Hardcover)
Arjuna Tuzzi, Martina Benesova, Jan Macutek
R4,173 Discovery Miles 41 730 Ships in 12 - 17 working days

Quantitative Linguistics is a rapidly developing discipline covering more and more areas of linguistic and textological research. The book represents an overview of the state of the art in Quantitative Linguistics, its scope and reach. Some of the topics: linguistic laws, frequency analyses, synergetic models of language, networks, part-of-speech systems, authorship attribution, polyfunctionality and polysemy, and opinion target identification.

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences (Paperback, Softcover reprint of the original 1st ed.... Tracing the Life Cycle of Ideas in the Humanities and Social Sciences (Paperback, Softcover reprint of the original 1st ed. 2018)
Arjuna Tuzzi
R2,947 Discovery Miles 29 470 Ships in 10 - 15 working days

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences (Hardcover, 1st ed. 2018): Arjuna Tuzzi Tracing the Life Cycle of Ideas in the Humanities and Social Sciences (Hardcover, 1st ed. 2018)
Arjuna Tuzzi
R2,960 Discovery Miles 29 600 Ships in 10 - 15 working days

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

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