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Text Mining with R

Author: Julia Silge

Publisher: "O'Reilly Media, Inc."

Published: 2017-06-12

Total Pages: 193

ISBN-13: 1491981628

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

An Introduction to Text Mining

Author: Gabe Ignatow

Publisher: SAGE Publications

Published: 2017-09-22

Total Pages: 345

ISBN-13: 150633699X

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Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.

The Nazis Knew My Name

Author: Magda Hellinger

Publisher: Simon and Schuster

Published: 2022-03-15

Total Pages: 320

ISBN-13: 1982181249

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The “thought-provoking…must-read” (Ariana Neumann, author of When Time Stopped) memoir by a Holocaust survivor who saved an untold number of lives at Auschwitz through everyday acts of courage and kindness—in the vein of A Bookshop in Berlin and The Nazi Officer’s Wife. In March 1942, twenty-five-year-old kindergarten teacher Magda Hellinger and nearly a thousand other young women were deported as some of the first Jews to be sent to the Auschwitz concentration camp. The SS soon discovered that by putting prisoners in charge of the day-to-day accommodation blocks, they could deflect attention away from themselves. Magda was one such prisoner selected for leadership and put in charge of hundreds of women in the notorious Experimental Block 10. She found herself constantly walking a dangerously fine line: saving lives while avoiding suspicion by the SS and risking execution. Through her inner strength and shrewd survival instincts, she was able to rise above the horror and cruelty of the camps and build pivotal relationships with the women under her watch, and even some of Auschwitz’s most notorious Nazi senior officers. Based on Magda’s personal account and completed by her daughter’s extensive research, this is “an unputdownable account of resilience and the power of compassion” (Booklist) in the face of indescribable evil.

A Handbook of Jazz

Author: Barry Ulanov

Publisher: Greenwood Publishing Group

Published: 1975

Total Pages: 248

ISBN-13: 9780837176598

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Introduction to Information Retrieval

Author: Christopher D. Manning

Publisher: Cambridge University Press

Published: 2008-07-07

Total Pages:

ISBN-13: 1139472100

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

A Preface to American Political Theory

Author: Donald S. Lutz

Publisher: University Press of Kansas

Published: 1992-09-03

Total Pages: 210

ISBN-13: 0700605460

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Donald Lutz begins A Preface to American Political Theory by explaining what the book doesn't do. It doesn't begin with a panegyric to the American founding. It doesn't answer the following questions: "What are the basic principles in the U.S. Constitution? What were the intentions of the founders with respect to (fill in your own topic)? What is the meaning of pluralism, or separation of powers, or democracy, or (fill in your own concept)?" In short, it doesn't provide an overview of the content, development, or major conclusions of American political theory. What it does do is provide "a pre-theoretical analysis of how to go about studying questions like the ones above-how to conceptualize the project, how to proceed in looking for answers, how to avoid the logical traps peculiar to the study of American political theory." Lutz sets out to emancipate American political theorists from empiricism and inappropriate European theories and methadologies. The end result is to establish the foundation for the systematic study of American behavior, institutions, and ideas; to provide a general introduction to the study of American political theory; and to illustrate how textual analysis, history, empirical research, and analytic philosophy are all part of the enterprise. Designed for students and scholars in all disciplines, including political science, history, and legal studies, A Preface to American Political Theory doesn't provide answers to central continuing issues in American political theory. Rather, it provides an effective, sophisticated entree into the study of American political theory. Readers will be armed with the intellectual tools to engage in systematic study and makes them aware of the pitfalls they will inevitably encounter.

The Venging

Author: Greg Bear

Publisher: Hachette UK

Published: 2012-06-18

Total Pages: 163

ISBN-13: 0575123451

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This is the first published collection of short stories by one of the foremost voices in science fiction today. This significant volume contains many characters and situations that later evolved into their own novels. "Mandala" features technologically perfect cities that eject their sinful human occupants, a premise that can be found at the root of Bear's later novel, STRENGTH OF STONES. In "Hardfought", Bear brilliantly handles the classic science fiction dilemma of human communication with aliens. Other stories include "The Wind From a Burning Woman" in which a woman holds the world hostage by controlling a giant asteroid; "Scattershot", in which the inhabitants of many universes meet in an undefined limbo space; and "Petra", a story of a world where chaos rules, stone moves and the mind controls reality. Hailed by readers and critics alike, THE VENGING has been described as "an excellent collection" and its author praised as "one of the freshest writers to break into the science fiction field in many a year".

Kierkegaard's Writings, IX, Volume 9

Author: Søren Kierkegaard

Publisher: Princeton University Press

Published: 2009-09-21

Total Pages: 232

ISBN-13: 1400832373

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Prefaces was the last of four books by Søren Kierkegaard to appear within two weeks in June 1844. Three Upbuilding Discourses and Philosophical Fragments were published first, followed by The Concept of Anxiety and its companion--published on the same day--the comically ironic Prefaces. Presented as a set of prefaces without a book to follow, this work is a satire on literary life in nineteenth-century Copenhagen, a lampoon of Danish Hegelianism, and a prefiguring of Kierkegaard's final collision with Danish Christendom. Shortly after publishing Prefaces, Kierkegaard began to prepare Writing Sampler as a sequel. Writing Sampler considers the same themes taken up in Prefaces but in yet a more ironical and satirical vein. Although Writing Sampler remained unpublished during his lifetime, it is presented here as Kierkegaard originally envisioned it, in the company of Prefaces.

Prose Fiction: An Introduction to the Semiotics of Narrative

Author: Ignasi Ribó

Publisher: Open Book Publishers

Published: 2019-12-13

Total Pages: 122

ISBN-13: 1783748125

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This concise and highly accessible textbook outlines the principles and techniques of storytelling. It is intended as a high-school and college-level introduction to the central concepts of narrative theory – concepts that will aid students in developing their competence not only in analysing and interpreting short stories and novels, but also in writing them. This textbook prioritises clarity over intricacy of theory, equipping its readers with the necessary tools to embark on further study of literature, literary theory and creative writing. Building on a ‘semiotic model of narrative,’ it is structured around the key elements of narratological theory, with chapters on plot, setting, characterisation, and narration, as well as on language and theme – elements which are underrepresented in existing textbooks on narrative theory. The chapter on language constitutes essential reading for those students unfamiliar with rhetoric, while the chapter on theme draws together significant perspectives from contemporary critical theory (including feminism and postcolonialism). This textbook is engaging and easily navigable, with key concepts highlighted and clearly explained, both in the text and in a full glossary located at the end of the book. Throughout the textbook the reader is aided by diagrams, images, quotes from prominent theorists, and instructive examples from classical and popular short stories and novels (such as Jane Austen’s Pride and Prejudice, Franz Kafka’s ‘The Metamorphosis,’ J. K. Rowling’s Harry Potter, or Dostoyevsky’s The Brothers Karamazov, amongst many others). Prose Fiction: An Introduction to the Semiotics of Narrative can either be incorporated as the main textbook into a wider syllabus on narrative theory and creative writing, or it can be used as a supplementary reference book for readers interested in narrative fiction. The textbook is a must-read for beginning students of narratology, especially those with no or limited prior experience in this area. It is of especial relevance to English and Humanities major students in Asia, for whom it was conceived and written.

Supervised Machine Learning for Text Analysis in R

Author: Emil Hvitfeldt

Publisher: CRC Press

Published: 2021-10-22

Total Pages: 402

ISBN-13: 1000461971

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Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.