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Introduction : Gurukulas and tradition-making in modern Ayurveda -- Situating Sanskrit (texts) in ayurvedic education -- Practicing texts -- Knowledge that heals, freely -- From healing texts to ritualized practice -- Texts in practice : wellbeing, healing, and the ayurvedic patient.
With word processing and the Internet, computing is much more part and parcel of the everyday life of the humanities scholar, but computers can do much more than assist with writing or Internet searching. This book introduces a range of tools and techniques for manipulating and analysing electronic texts in the humanities. It shows how electronic texts can be used for the literary analysis, linguistic analysis, authorship attribution, and the preparation and publication of electronic scholarly editions. It assesses the ways in which research in corpus and computational linguistics can feed into better electronic tools for humanities research. The tools and techniques discussed in this book will feed into better Internet tools and pave the way for the electronic scholar of the twenty-first century.
A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You’ll learn how to: Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more Most companies’ data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now.
How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
Teacher Resource Book
This volume of essays addresses the practical implications of theoretical issues in a variety of texts from Shakespeare to Oscar Wilde.
Softbound - New, softbound print book.
This practical guide by two experienced translators and translation tutors explores aspects of time, context and culture in a range of translated literary texts, including novels, memoirs, poems and plays. Reflective analytical sections are complemented by a variety of practical tasks that reflect the book’s craft-based approach. Providing a dual focus on both analysis and creativity, this volume helps readers to develop two different skill sets required for translation: deconstruction and reconstruction. To learn how to analyse or deconstruct a source text (ST), the tasks include translating and editing, comparison and analysis of source language (SL) texts and translations, and critiquing or improving target language (TL) texts produced by translators from different times. A range of creative writing challenges reveal the secrets writers use to hook their readers. Whatever language readers translate into, these insights will help them to find their own writer’s voice, making them better equipped to recreate another author’s voice, whatever the time or cultural context. This is the essential guide to improving target texts for all translators and students of translation.
This book challenges the ways we read, write, store, and retrieve information in the digital age. Computers—from electronic books to smart phones—play an active role in our social lives. Our technological choices thus entail theoretical and political commitments. Dennis Tenen takes up today's strange enmeshing of humans, texts, and machines to argue that our most ingrained intuitions about texts are profoundly alienated from the physical contexts of their intellectual production. Drawing on a range of primary sources from both literary theory and software engineering, he makes a case for a more transparent practice of human–computer interaction. Plain Text is thus a rallying call, a frame of mind as much as a file format. It reminds us, ultimately, that our devices also encode specific modes of governance and control that must remain available to interpretation.
Teacher Resource Book