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The Dangerous Art of Text Mining: A Methodology for Digital History 1.45

Excerpt from A Text-Book of Ore and Stone MiningThe object of my text-book is to assist students in acquiring a knowledge of the art of mining. Books and lectures are not intended to take the place of practical teaching at mines, but they render the training more thorough and complete in many ways: they serve to explain the principles of the art, to solve difficulties which perplex the beginner, to suggest matters which he should observe, to tell him of things beyond his ken, and to supply him with a system for arranging his ideas methodically.It will be seen by my numerous references that I have not hesitated to avail myself of very varied sources of informa tion, and that I have taken care to avoid dwelling too much upon English examples.About the PublisherForgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.comThis book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within 1.77

Your power tools for making the complex comprehensible Now more than ever, our students are being asked to do highly advanced thinking, talking, and writing around their reading. If only there were ingenious new tools that could give our students the space to tease apart complex ideas in order to comprehend and weld their understandings into a new whole. Good news: these tools exist―Mining Complex Text. You’ll learn how graphic organizers can: Help students read, reread, and take notes on a text Promote students’ oral sharing of information and their ideas Elevate organized note-making from complex text(s) Scaffold students’ narrative and informational writing

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.Learn how to apply the tidy text format to NLPUse sentiment analysis to mine the emotional content of textIdentify a document’s most important terms with frequency measurementsExplore relationships and connections between words with the ggraph and widyr packagesConvert back and forth between R’s tidy and non-tidy text formatsUse topic modeling to classify document collections into natural groupsExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis.

This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

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A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.

Buy with confidence! Book is in new, never-used condition 1.77

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possibleNumerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.comGlossary of text mining terms provided in the appendix

Buy with confidence! Book is in new, never-used condition 1.9

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possibleNumerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.comGlossary of text mining terms provided in the appendix

Seltenes Exemplar. Der vorliegende Band (Festeinband, 352 Seiten) stellt die erste umfassende Darstellung des lyrischen Werkes Ernst Meisters das. Kiefer ist ebenfalls der HErausgeber der "Sämtlichen Gedichte" Ernst Meisters im RImbaud Verlag.

IM Essentials Text is based on the national core curriculum and written by clerkship directors to cover all of the key content needed for students to get the most out of the clinical clerkship in medicine. Organized by traditional subspecialty internal medicine topics, IM Essentials Text contains more than 250 differential diagnosis tables and treatment algorithms, as well as over 150 color plates, imaging studies, and electrocardiograms to optimize your learning. IM Essentials Text is part of the IM Essentials suite of study materials produced for students through a collaboration of the American College of Physicians and the Clerkship Directors in Internal Medicine. Also available is IM Essentials Questions, containing over 500 self-assessment questions. IM Essentials Text includes FREE access to the online version of IM Essentials that combines the full content of both IM Essentials Text and IM Essentials Questions, plus digital Flashcards. The interactive format allows you to: Work at your own pace using different devices Access more than 500 multiple-choice questions with the ability to switch back-and-forth between questions and associated text content Create custom quizzes to focus on the content you need to study the most Read critiques explaining why each answer is correct or incorrect Review key point summaries for each question Over 1000 Digital Flashcards to review key facts while preparing for the clerkship exam Compare your progress to other IM Essentials users

Das 1926 gegrundete Gutenberg-Jahrbuch ist das zentrale wissenschaftliche Publikationsorgan der internationalen Gutenberg-Forschung. Neben Beitragen zu Leben und Werk Gutenbergs und Ergebnissen der Inkunabel-Forschung umfasst der Themenkreis des Jahrbuchs eine weit gefacherte Palette: Geschichte des Buchdrucks von den Anfangen bis zur Gegenwart, Papiergeschichte, Bibliotheksgeschichte, Buchhandels- und Verlagsgeschichte, Geschichte der Schrift, moderne Setz- und Druckverfahren, Entwicklungen in der Typografie und in den Neuen Medien, Buchillustration, Bucheinband, Zeitungs- und Pressewesen, Literaturberichte zum Buchdruck und zur Einbandkunde. Bei aller Wissenschaftlichkeit wird darauf geachtet, dass auch der interessierte Laie das Buch mit Freude und Gewinn lesen kann. Aus dem Inhalt: Robert Beasecker, Forming a Collection of 15th-Century Books in the 21st Century Claire Bolton, A print run of 68 + 1 copies of a Memmingen Indulgence c.1504-1515 Olivier Deloignon, Un double accident typographique dans la Concordantiae Bibliorum Erika Squassina, Authors and the system of publishers' privileges in Venice (1469-1545) Adolfo Tura, Paralipomeni prospettici Ancora sulle Antiquarie stampate a Roma alla fine del Quattrocento Ulman Weiss, Uber die Grundung der Papiermuhle in Friedrichroda am Fusse des Thuringer Waldes Dieter Wuttke, Virgil Solis adaptiert zwei Holzschnitte der Amores des Conradus Celtis Protucius

Excerpt from Lehrbuch der Entwickelungsgeschichte des Menschen: Mit 386 Abbildungen im TextIV. Menschliche Embryonen, Monat (alter Wochen). V. Menschliche Embryonen, ll. Monat (alter 6 Wochen) VI. Menschliche Embryonen, ll. Monat (alter 7 - 8 Wochen)About the PublisherForgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.comThis book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.