Taming Text With Tech
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Taming Text with Tech
In the ever-evolving landscape of communication, the convergence of text and technology has ushered in a new era of linguistic exploration and manipulation. "Taming Text with Tech" delves into this captivating realm, providing a comprehensive guide to harnessing the power of computational tools for textual analysis and generation. Through a series of engaging chapters, this book unravels the intricacies of textual structures, empowering readers to uncover hidden patterns and relationships within language. It delves into the art of programming, particularly Java's capabilities in textual manipulation, enabling readers to write their own programs for analyzing and processing text. The book ventures into specialized textual techniques, unveiling the secrets of named entity recognition, sentiment analysis, topic modeling, and machine translation. These cutting-edge methods unlock valuable insights from vast troves of text, revealing hidden trends, emotions, and connections. Furthermore, it explores the fascinating world of natural language processing, where machines delve into the intricacies of human language. The book sheds light on parsing algorithms, dialogue systems, and question answering systems, unveiling the mechanisms that allow computers to understand and respond to linguistic expressions. With an eye on the future, the book explores the potential of emerging technologies such as artificial intelligence, quantum computing, and other innovations to revolutionize the way we interact with and leverage textual information. It challenges readers to envision the boundless possibilities that lie ahead. Whether you are a seasoned programmer seeking to expand your linguistic toolkit, a budding linguist eager to explore the computational dimension of language, or a curious explorer of the digital age, "Taming Text with Tech" offers an enlightening journey into the captivating world of text and technology. It promises to transform the way you perceive and interact with language in the digital age. If you like this book, write a review!
Taming Text
Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier
Taming the Beloved Beast
Author: Daniel Callahan
language: en
Publisher: Princeton University Press
Release Date: 2009-08-17
Why health care reform must tackle the escalating cost of medical technology Technological innovation is deeply woven into the fabric of American culture, and is no less a basic feature of American health care. Medical technology saves lives and relieves suffering, and is enormously popular with the public, profitable for doctors, and a source of great wealth for industry. Yet its costs are rising at a dangerously unsustainable rate. The control of technology costs poses a terrible ethical and policy dilemma. How can we deny people what they may need to live and flourish? Yet is it not also harmful to let rising costs strangle our health care system, eventually harming everyone? In Taming the Beloved Beast, esteemed medical ethicist Daniel Callahan confronts this dilemma head-on. He argues that we can't escape it by organizational changes alone. Nothing less than a fundamental transformation of our thinking about health care is needed to achieve lasting and economically sustainable reform. The technology bubble, he contends, is beginning to burst. Callahan weighs the ethical arguments for and against limiting the use of medical technologies, and he argues that reining in health care costs requires us to change entrenched values about progress and technological innovation. Taming the Beloved Beast shows that the cost crisis is as great as that of the uninsured. Only a government-regulated universal health care system can offer the hope of managing technology and making it affordable for all.