Download or read book Reading Writing Informational Text in the Primary Grades written by Nell K. Duke and published by Teaching Resources. This book was released on 2003 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, research supports the importance of teaching children to read and write informational text, but few resources show us how to do it well. This book fills that gap. The authors explain why it's important to weave informational text into the primary curriculum. From there, they provide a framework for organizing your time and space, and classroom-tested strategies for incorporating informational text into reading, writing, and the content areas. For use with Grades K-3.
Download or read book The Word on College Reading and Writing written by Carol Burnell and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: An interactive, multimedia text that introduces students to reading and writing at the college level.
Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Download or read book Inside Information written by Nell K. Duke and published by Teaching Resources. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading authority in using informational text shows teachers how to develop project-based units on reading, writing, and researching major text types--informative/explanatory, persuasive, procedural/how-to, nonfiction narrative, and biographical.
Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Download or read book Language and Text written by Adam Pawłowski and published by John Benjamins Publishing Company. This book was released on 2021-12-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Specialists in quantitative linguistics the world over have recourse to a solid and universal methodology. These days, their methods and mathematical models must also respond to new communication phenomena and the flood of data produced daily. While various disciplines (computer science, media science) have different ways of processing this onslaught of information, the linguistic approach is arguably the most relevant and effective. This book includes recent results from many renowned contemporary practitioners in the field. Our target audiences are academics, researchers, graduate students, and others involved in linguistics, digital humanities, and applied mathematics.
Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Critical Approaches to Information Retrieval Research written by Sarfraz, Muhammad and published by IGI Global. This book was released on 2019-08-30 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.
Download or read book Deep Text written by Tom Reamy and published by Information Today. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Deep text is an approach to text analytics that adds depth and intelligence to our ability to utilize a growing mass of unstructured text. In this book, author Tom Reamy explains what deep text is and surveys its many uses and benefits. Reamy describes applications and development best practices, discusses business issues including ROI, provides how-to advice and instruction, and offers guidance on selecting software and building a text analytics capability within an organization. Whether you want to harness a flood of social media content or turn a mountain of business information into an organized and useful asset, Deep Text will supply the insights and examples you'll need to do it effectively." -- Provided by publisher.
Download or read book A Day s Work written by Eve Bunting and published by Houghton Mifflin Harcourt. This book was released on 2004-11-18 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Francisco, a young Mexican-American boy, helps his grandfather find work as a gardener, even though the old man cannot speak English and knows nothing about gardening.
Download or read book The Organization of Information written by Arlene G. Taylor and published by . This book was released on 2004 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The extensively revised and completely updated second edition of this popular textbook provides LIS practitioners and students with a vital guide to the organization of information. After a broad overview of the concept and its role in human endeavors, Taylor proceeds to a detailed and insightful discussion of such basic retrieval tools as bibliographies, catalogs, indexes, finding aids, registers, databases, major bibliographic utilities, and other organizing entities. After tracing the development of the organization of recorded information in Western civilization from 2000 B.C.E. to the present, the author addresses topics that include encoding standards (MARC, SGML, and various DTDs), metadata (description, access, and access control), verbal subject analysis including controlled vocabularies and ontologies, classification theory and methodology, arrangement and display, and system design.
Download or read book Mining Text Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Download or read book Text Mining written by Sholom M. Weiss and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Download or read book Earth written by Steve Jenkins and published by Clarion Books. This book was released on 2019 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: "How old is the earth? Where is the ice three miles thick? Why are volcanoes so dangerous? Where are the wettest and driest spots on the planet? Find the answers to these questions--and many more--in Earth by the numbers."--Dust jacket flap.
Download or read book Active Learning written by Sherrie L. Nist and published by Longman Publishing Group. This book was released on 2000 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps student to understand himself as a learner and what it takes to succeed. Focuses on four key factors; Students characteristics as learners; the tasks which must be completed in each class; the strategies that will help the student to read, understand and remember what professors expect him to learn and the texts with which the student interact.
Download or read book Text Analytics written by John Atkinson-Abutridy and published by CRC Press. This book was released on 2022-05-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery from unstructured information sources, for both industrial and academic purposes. The book introduces the main concepts, models, and computational techniques that enable the reader to solve real decision-making problems arising from textual and/or documentary sources. Features: Easy-to-follow step-by-step concepts and methods Every chapter is introduced in a very gentle and intuitive way so students can understand the WHYs, WHAT-IFs, WHAT-IS-THIS-FORs, HOWs, etc. by themselves Practical programming exercises in Python for each chapter Includes theory and practice for every chapter, summaries, practical coding exercises for target problems, QA, and sample code and data available for download at https://www.routledge.com/Atkinson-Abutridy/p/book/9781032249797
Download or read book Working with Text written by Emma Tonkin and published by Elsevier. This book was released on 2016-07-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is text mining, and how can it be used? What relevance do these methods have to everyday work in information science and the digital humanities? How does one develop competences in text mining? Working with Text provides a series of cross-disciplinary perspectives on text mining and its applications. As text mining raises legal and ethical issues, the legal background of text mining and the responsibilities of the engineer are discussed in this book. Chapters provide an introduction to the use of the popular GATE text mining package with data drawn from social media, the use of text mining to support semantic search, the development of an authority system to support content tagging, and recent techniques in automatic language evaluation. Focused studies describe text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature. Interviews are included that offer a glimpse into the real-life experience of working within commercial and academic text mining. - Introduces text analysis and text mining tools - Provides a comprehensive overview of costs and benefits - Introduces the topic, making it accessible to a general audience in a variety of fields, including examples from biology, chemistry, sociology, and criminology
