This volume responds to the current interest in computational and statistical methods to describe and analyse metre, style, and poeticity, particularly insofar as they can open up new research perspectives in literature, linguistics, and literary history. The contributions are representative of the diversity of approaches, methods, and goals of a thriving research community. Although most papers focus on written poetry, including computer-generated poetry, the volume also features analyses of spoken poetry, narrative prose, and drama. The contributions employ a variety of methods and techniques ranging from motif analysis, network analysis, machine learning, and Natural Language Processing. The volume pays particular attention to annotation, one of the most basic practices in computational stylistics. This contribution to the growing, dynamic field of digital literary studies will be useful to both students and scholars looking for an overview of current trends, relevant methods, and possible results, at a crucial moment in the development of novel approaches, when one needs to keep in mind the qualitative, hermeneutical benefit made possible by such quantitative efforts.

Digital Literary Studies presents a broad and varied picture of the promise and potential of methods and approaches that are crucially dependent upon the digital nature of the literary texts it studies and the texts and collections of texts with which they are compared. It focuses on style, diction, characterization, and interpretation of single works and across larger groups of texts, using both huge natural language corpora and smaller, more specialized collections of texts created for specific tasks, and applies statistical techniques used in the narrower confines of authorship attribution to broader stylistic questions. It addresses important issues in each of the three major literary genres, and intentionally applies different techniques and concepts to poetry, prose, and drama. It aims to present a provocative and suggestive sample intended to encourage the application of these and other methods to literary studies. Hoover, Culpeper, and O’Halloran push the methods, techniques, and concepts in new directions, apply them to new groups of texts or to new questions, modify their nature or method of application, and combine them in innovative ways.

Dramatic texts come with a natural structure of acts, scenes and speech clearly assigned to characters that lends itself to computational analysis: These explicit structures allow for straightforward formalizations without extensive preparatory work. Work on drama has therefore always been at the forefront of research in computational literary studies, with its pioneers analyzing drama quantitatively long before the digital age. Today, increasingly large digital text corpora are available and computational literary studies aims at a higher-scaled view on literary history, promising to analyze thousands of literary texts simultaneously. After decades of exploring the possibilities offered by computational methods, the field is now undergoing a phase of consolidation that takes stock of achievements and opportunities and critically reflects the computational methods and interpretations derived from data. Building on insights from the fields' tradition and current research approaches, this volume provides an overview of the status quo of computational drama analysis and explores possible routes for the future.

The Routledge Handbook of Corpus Linguistics 2e provides an updated overview of a dynamic and rapidly growing area with a widely applied methodology. Over a decade on from the first edition of the Handbook, this collection of 47 chapters from experts in key areas offers a comprehensive introduction to both the development and use of corpora as well as their ever-evolving applications to other areas, such as digital humanities, sociolinguistics, stylistics, translation studies, materials design, language teaching and teacher development, media discourse, discourse analysis, forensic linguistics, second language acquisition and testing. The new edition updates all core chapters and includes new chapters on corpus linguistics and statistics, digital humanities, translation, phonetics and phonology, second language acquisition, social media and theoretical perspectives. Chapters provide annotated further reading lists and step-by-step guides as well as detailed overviews across a wide range of themes. The Handbook also includes a wealth of case studies that draw on some of the many new corpora and corpus tools that have emerged in the last decade. Organised across four themes, moving from the basic start-up topics such as corpus building and design to analysis, application and reflection, this second edition remains a crucial point of reference for advanced undergraduates, postgraduates and scholars in applied linguistics.

Exploring the Language of Poems, Plays and Prose examines how readers interact with literary works, how they understand and are moved by them. Mick Short considers how meanings and effects are generated in the three major literary genres, carying out stylistic analysis of poetry, drama and prose fiction in turn. He analyses a wide range of extracts from English literature, adopting an accessible approach to the analysis of literary texts which can be applied easily to other texts in English and in other languages.

Internet of behaviors (IoB), also known as the internet of behavior, emerged as a natural consequence of the internet of things (IoT) and artificial intelligence (AI). IoB is an area of investigation that compiles three fields of study: IoT, data analysis, and behavioral science. IoB seeks to explain the data obtained from a behavioral point of view, analyzing human interaction with technology and referring to the process by which user-controlled data is evaluated from a behavioral psychology perspective. Internet of Behaviors Implementation in Organizational Contexts explores internet of behaviors solutions that promote people's quality of life. This book explores and discusses, through innovative studies, case studies, systematic literature reviews, and reports. The content within this publication represents research encompassing the internet of behaviors, internet of things, big data, artificial intelligence, blockchain, smart cities, human-centric approach for digital technologies, ICT sustainability, and more. This vital reference source led by an editor with over two decades of experience is optimized for university professors, researchers, undergraduate and graduate level students, and business managers and professionals across several industries related to or utilizing the internet of things (IoT).

The book presents a varied picture of the possibilities of digital literary studies in the areas of style, diction, and characterization. It uses both huge natural language corpora and smaller, more specialized collections of texts created for specific tasks, and provocatively applies statistical techniques to broader literary and stylistic questions.