Author: Ashley Bishop
Publisher: Shell Education
ISBN: 9781425804732
Category : Education
Languages : en
Pages : 168
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Book Description
This professional development resource provides strategies for helping students develop an understanding of how the word analysis process works. Topics include phonics, structural anaylsis, sight words, vocabulary, context clues, and fluency. This resource also addresses special instructional needs of English language learners.
Author: William Swinton
Publisher: DigiCat
ISBN:
Category : Fiction
Languages : en
Pages : 143
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Book Description
William Swinton's New Word Analysis, or School Etymology of English Derivative Words – With Practical Exercises, is a great resource guide and textbook for English language teachers and students. The focus of New Word Analysis is the deconstruction and tracing of the etymology of selected words, with a focus on the Latin and Greek suffixes and prefixes. The book also gives an introduction to the history of English words, includes chapters on the role of Latin and other borrowings.
Author: William Swinton
Publisher:
ISBN:
Category : English language
Languages : en
Pages : 140
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Book Description
Author: William Swinton
Publisher:
ISBN:
Category : English language
Languages : en
Pages : 172
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Book Description
Author: John Swett
Publisher:
ISBN:
Category : English language
Languages : en
Pages : 182
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Book Description
Author: Donald J. Leu
Publisher:
ISBN: 9780134169781
Category : Phonemic awareness
Languages : en
Pages : 132
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Book Description
A practical, self-paced tutorial on the phonics, phonemic awareness, and word analysis topics students need to know to succeed on teacher certification or competency tests. A classic in the field, written by two highly respected authorities. KEY TOPICS: Recognizing Words: Helping Children Develop Word Analysis Strategies; The Early Stages: Phonological and Phonemic Awareness; Phonics: Onset, Rime, and Consonant Patterns; Phonics: Vowel Patterns; Context; Sight Words; Morphemic Analysis; Chunking Words into Smaller Units: Syllabication and Structural Analysis; The Dictionary and Word Analysis; Developmental Spelling Patterns: Insights into the Development of Word Analysis Skills MARKET: Pre- and in-service teachers preparing for the state reading exams now required in many states, and those who are taking teacher certification or competency tests.
Author: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193
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Book Description
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: Emil Hvitfeldt
Publisher: CRC Press
ISBN: 1000461971
Category : Computers
Languages : en
Pages : 402
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Book Description
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: Renata Tesch
Publisher: Routledge
ISBN: 1135388024
Category : Education
Languages : en
Pages : 338
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Book Description
First published in 1990. There was a time when most researchers believed that the only phenomena that counted in the social sciences were those that could be measured. To make that perfectly clear, they called any phenomenon they intended to study a 'variable', indicating that the phenomenon could vary in size, length, amount, or any other quantity. Unfortunately, not many phenomena in the human world comes naturally in quantities. If we cannot even give a useful answer to what qualitative analysis is and how it works, then it seems rather incongruent to try and involve a computer, the very essence of precision and orderliness. Isn't qualitative analysis a much too individualistic and flexible an activity to be supported by a computer? Won't a computer do exactly what qualitative researchers want to avoid, namely standardize the process? Won't it mechanize and rigidify qualitative analysis? The answer to these questions is NO, and this book explains why.
Author: Joetta Beaver
Publisher:
ISBN: 9780673618467
Category : Developmental reading
Languages : en
Pages :
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Book Description
Gives middle school teachers a range of tools to help monitor literacy behavior continuously as they teach, as well as conduct periodic assessments for accountability. Intended to guide teachers' ongoing observations of student's progress within a literature-based reading program.
