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Author | : Magda Hellinger |
Publisher | : Simon and Schuster |
Total Pages | : 320 |
Release | : 2022-03-15 |
Genre | : Biography & Autobiography |
ISBN | : 1982181249 |
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.
Author | : Julia Silge |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 193 |
Release | : 2017-06-12 |
Genre | : Computers |
ISBN | : 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.
Author | : Gabe Ignatow |
Publisher | : SAGE Publications |
Total Pages | : 345 |
Release | : 2017-09-22 |
Genre | : Computers |
ISBN | : 150633699X |
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.
Author | : Ignasi Ribó |
Publisher | : Open Book Publishers |
Total Pages | : 119 |
Release | : 2019-12-13 |
Genre | : Education |
ISBN | : 1783748125 |
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.
Author | : Robert L. Perkins |
Publisher | : Mercer University Press |
Total Pages | : 472 |
Release | : 2006 |
Genre | : Philosophy |
ISBN | : 9780881460216 |
The International Kierkegaard Commentary-For the first time in English the world community of scholars systematically assembled and presented the results of recent research in the vast literature of Søren Kierkegaard. Based on the definitive English edition of Kierkegaard's works by Princeton University Press, this series of commentaries addresses all the published texts of the influential Danish philosopher and theologian. This is volume 9 & 10 in a series of commentaries based upon the definitive translations of Kierkegaard's writings published by Princeton University Press, 1980ff.
Author | : Barry Ulanov |
Publisher | : Greenwood Publishing Group |
Total Pages | : 248 |
Release | : 1975 |
Genre | : Family & Relationships |
ISBN | : 9780837176598 |
Author | : Fiona Raven |
Publisher | : |
Total Pages | : 0 |
Release | : 2017 |
Genre | : Design |
ISBN | : 9780994096920 |
Book Design Made Simple gives DIY authors, small presses, and graphic designers--novices and experts alike--the power to design their own books. It's the first comprehensive book of its kind, explaining every step from installing Adobe(R) InDesign(R) right through to sending the files to press. For those who want to design their own books but have little idea how to proceed, Book Design Made Simple is a semester of book design instruction plus a publishing class rolled into one. Let two experts guide you through the process with easy step-by-step instructions, resulting in a professional-looking top-quality book
Author | : Emil Hvitfeldt |
Publisher | : CRC Press |
Total Pages | : 402 |
Release | : 2021-10-22 |
Genre | : Computers |
ISBN | : 1000461971 |
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.
Author | : Nathan J. Keirns |
Publisher | : |
Total Pages | : 513 |
Release | : 2015-03-17 |
Genre | : Sociology |
ISBN | : 9781938168413 |
"This text is intended for a one-semester introductory course."--Page 1.
Author | : Christopher D. Manning |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2008-07-07 |
Genre | : Computers |
ISBN | : 1139472100 |
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.