Statistics For Linguistics With R

Author by : Stefan Thomas Gries
Languange : en
Publisher by : Walter de Gruyter
Format Available : PDF, ePub, Mobi
Total Read : 32
Total Download : 497
File Size : 44,5 Mb
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Description : Review text: "Gries has diligently compiled a work of great use and interest. It is relevantabove all to linguistic students and researchers, and can readily act as atextbook for taught courses. It should be noted that the book is equally usefulas a reference guide, with the analysis scenarios sufficiently well labelled andorganized so that the reader can dip into it as and when necessary, or as acomplete set of exercises which the reader can work through section by section."Andrew Caines in: Linguist List 22.412.


Quantitative Corpus Linguistics With R

Author by : Stefan Th. Gries
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 73
Total Download : 795
File Size : 43,9 Mb
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Description : As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.


How To Do Linguistics With R

Author by : Natalia Levshina
Languange : en
Publisher by : John Benjamins Publishing Company
Format Available : PDF, ePub, Mobi
Total Read : 83
Total Download : 218
File Size : 50,5 Mb
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Description : This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data. It employs R, a free software environment for statistical computing, which is increasingly popular among linguists. How to do Linguistics with R: Data exploration and statistical analysis is unique in its scope, as it covers a wide range of classical and cutting-edge statistical methods, including different flavours of regression analysis and ANOVA, random forests and conditional inference trees, as well as specific linguistic approaches, among which are Behavioural Profiles, Vector Space Models and various measures of association between words and constructions. The statistical topics are presented comprehensively, but without too much technical detail, and illustrated with linguistic case studies that answer non-trivial research questions. The book also demonstrates how to visualize linguistic data with the help of attractive informative graphs, including the popular ggplot2 system and Google visualization tools. This book has a companion website: http://doi.org/10.1075/z.195.website


The Routledge Handbook Of Hispanic Applied Linguistics

Author by : Manel Lacorte
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 12
Total Download : 944
File Size : 52,9 Mb
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Description : This book provides a comprehensive overview of Hispanic applied linguistics, allowing students to understand the field from a variety of perspectives and offering insight into the ever-growing number of professional opportunies afforded to Spanish language program graduates. The goal of this book is to re-contextualize the notion of applied linguistics as simply the application of theoretical linguistic concepts to practical settings and to consider it as its own field that addresses language-based issues and problems in a real-world context. The book is organized into five parts: 1) perspectives on learning Spanish 2) issues and environments in Spanish teaching 3) Spanish in the professions 4) the discourses of Spanish and 5) social and political contexts for Spanish. The book’s all-inclusive coverage gives students the theoretical and sociocultural context for study in Hispanic applied linguistics while offering practical information on its application in the professional sector.


Modeling Techniques In Predictive Analytics

Author by : Thomas W. Miller
Languange : en
Publisher by : FT Press
Format Available : PDF, ePub, Mobi
Total Read : 84
Total Download : 966
File Size : 52,6 Mb
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Description : To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more


Modeling Techniques In Predictive Analytics With Python And R

Author by : Thomas W. Miller
Languange : en
Publisher by : FT Press
Format Available : PDF, ePub, Mobi
Total Read : 71
Total Download : 419
File Size : 54,8 Mb
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Description : Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more


Statistics For Linguists An Introduction Using R

Author by : Bodo Winter
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 79
Total Download : 986
File Size : 41,9 Mb
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Description : Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.


Web And Network Data Science

Author by : Thomas W. Miller
Languange : en
Publisher by : FT Press
Format Available : PDF, ePub, Mobi
Total Read : 35
Total Download : 427
File Size : 41,6 Mb
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Description : Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.


Introduction To Contemporary Linguistic Semantics

Author by : George L. Dillon
Languange : en
Publisher by :
Format Available : PDF, ePub, Mobi
Total Read : 22
Total Download : 234
File Size : 44,7 Mb
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Description :


Mapping Applied Linguistics

Author by : Christopher J. Hall
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 31
Total Download : 727
File Size : 51,9 Mb
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Description : Mapping Applied Linguistics: A Guide for Students and Practitioners provides an innovative and wide-ranging introduction to the full scope of applied linguistics. Incorporating both socio-cultural and cognitive perspectives, the book maps the diverse and constantly expanding range of theories, methods and issues faced by students and practitioners alike. Practically oriented and ideally suited to students new to the subject area, the book provides in-depth coverage of: language teaching and education, literacy and language disorders language variation and world Englishes language policy and planning lexicography and forensic linguistics multilingualism and translation. Including real data and international examples, the book features further reading and exercises in each chapter, fieldwork suggestions and a full glossary of key terms. An interactive Companion Website also provides a wealth of additional resources. This book will be essential reading for students studying applied linguistics, TESOL, general linguistics, and education at the advanced undergraduate or master’s degree level. It is also the ideal gateway for practitioners to better understand the wider scope of their work.