Semantic Feature Analysis

Semantic Feature Analysis PDF Author: Susan D. Pittelman
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 82

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Book Description
This book discusses semantic feature analysis, a strategy that helps teachers focus students' attention on vocabulary and increase their sensitivity to language. The first half of the book deals with the theoretical foundation, reviews the research, and describes the basic teaching strategy of semantic feature analysis. The book's second half is devoted to classroom applications of this knowledge, and includes semantic feature analysis in content area lessons, in reading instruction, in integrated reading/writing lessons, as well as a semantic feature database lesson. Twenty-one figures are included, and 71 references are attached. (SR)

Semantic Feature Analysis

Semantic Feature Analysis PDF Author: Susan D. Pittelman
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 82

Get Book Here

Book Description
This book discusses semantic feature analysis, a strategy that helps teachers focus students' attention on vocabulary and increase their sensitivity to language. The first half of the book deals with the theoretical foundation, reviews the research, and describes the basic teaching strategy of semantic feature analysis. The book's second half is devoted to classroom applications of this knowledge, and includes semantic feature analysis in content area lessons, in reading instruction, in integrated reading/writing lessons, as well as a semantic feature database lesson. Twenty-one figures are included, and 71 references are attached. (SR)

Literacy in Context (LinC)

Literacy in Context (LinC) PDF Author: Mimi Miller
Publisher: Allyn & Bacon
ISBN: 9780135034842
Category : Content area reading
Languages : en
Pages : 0

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Book Description
"Teachers and students studying to be teachers want strategies that they can use in the classroom and this book definitely delivered...The reader is hooked from the first page."---Amy MacKenzie, Manhattanville College, Purchase, NY --

The Oxford Handbook of Aphasia and Language Disorders

The Oxford Handbook of Aphasia and Language Disorders PDF Author: Anastasia M. Raymer
Publisher: Oxford University Press
ISBN: 0199772398
Category : Language Arts & Disciplines
Languages : en
Pages : 355

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Book Description
The Oxford Handbook of Aphasia and Language Disorders' integrates neural and cognitive perspectives, providing a comprehensive overview of the complex language and communication impairments that arise in individuals with acquired brain damage.

Guided Comprehension in Grades 3-8

Guided Comprehension in Grades 3-8 PDF Author: Maureen McLaughlin
Publisher: International Reading Assoc.
ISBN: 9780872077126
Category : Education
Languages : en
Pages : 0

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Book Description
The Guided Comprehension Model is a step-by-step teaching framework that encourages students to become active, and strategic readers by providing explicit strategy instruction, opportunities for engagement, and a variety of texts and instructional settings. This book introduces ideas for teaching Guided Comprehension.

What Do You Do With a Tail Like This?

What Do You Do With a Tail Like This? PDF Author: Steve Jenkins
Publisher: Houghton Mifflin Harcourt
ISBN: 0547488920
Category : Juvenile Fiction
Languages : en
Pages : 37

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Book Description
A nose for digging? Ears for seeing? Eyes that squirt blood? Explore the many amazing things animals can do with their ears, eyes, mouths, noses, feet, and tails in this interactive guessing book, beautifully illustrated in cut-paper collage, which was awarded a Caldecott Honor. This title has been selected as a Common Core Text Exemplar (Grades K-1, Read Aloud Informational Text).

Reading to Learn in the Content Areas

Reading to Learn in the Content Areas PDF Author: Raymond (Old Dominion University) Morgan
Publisher:
ISBN: 9780357671368
Category :
Languages : en
Pages : 504

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Book Description
With READING TO LEARN IN THE CONTENT AREAS, Eighth Edition, future educators discover how they can teach students to use reading, discussion, and writing as vehicles for learning in any discipline. The book explores how the increased availability of computers, instructional software, social media, and Internet resources--as well as the rise of electronic literacy in general--have affected the ways children learn and create meaning from their world. The authors' unique lesson framework for instruction, PAR (Preparation/Assistance/Reflection), extends throughout the book. A reader-friendly presentation, balanced approach, strong research base, and inclusion of real-life examples from a variety of subject areas and grade levels have helped make this resource one of the most popular and effective books on the market.

Prominent Feature Extraction for Sentiment Analysis

Prominent Feature Extraction for Sentiment Analysis PDF Author: Basant Agarwal
Publisher: Springer
ISBN: 3319253433
Category : Medical
Languages : en
Pages : 118

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Book Description
The objective of this monograph is to improve the performance of the sentiment analysis model by incorporating the semantic, syntactic and common-sense knowledge. This book proposes a novel semantic concept extraction approach that uses dependency relations between words to extract the features from the text. Proposed approach combines the semantic and common-sense knowledge for the better understanding of the text. In addition, the book aims to extract prominent features from the unstructured text by eliminating the noisy, irrelevant and redundant features. Readers will also discover a proposed method for efficient dimensionality reduction to alleviate the data sparseness problem being faced by machine learning model. Authors pay attention to the four main findings of the book : -Performance of the sentiment analysis can be improved by reducing the redundancy among the features. Experimental results show that minimum Redundancy Maximum Relevance (mRMR) feature selection technique improves the performance of the sentiment analysis by eliminating the redundant features. - Boolean Multinomial Naive Bayes (BMNB) machine learning algorithm with mRMR feature selection technique performs better than Support Vector Machine (SVM) classifier for sentiment analysis. - The problem of data sparseness is alleviated by semantic clustering of features, which in turn improves the performance of the sentiment analysis. - Semantic relations among the words in the text have useful cues for sentiment analysis. Common-sense knowledge in form of ConceptNet ontology acquires knowledge, which provides a better understanding of the text that improves the performance of the sentiment analysis.

Strategies to Engage the Mind of the Learner

Strategies to Engage the Mind of the Learner PDF Author: Rachel Billmeyer
Publisher:
ISBN: 9781742394114
Category : Learning strategies
Languages : en
Pages : 250

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Book Description
"Strategic reading in the content areas is Volume 1 of the Literacy and learning trilogy written by the author. Strategies and examples referenced in this book are extensively presented in Volume 2, Strategies to engage the mind of the learner. The traits and attributes of a strategic reader are outlined in Volume 3, Capturing all of the reader through the reading assessment system".

Semantic Multimedia Analysis and Processing

Semantic Multimedia Analysis and Processing PDF Author: Evaggelos Spyrou
Publisher: CRC Press
ISBN: 1466575506
Category : Computers
Languages : en
Pages : 555

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Book Description
Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability. Fostering a deeper understanding of a popular area of research, the text: Describes state-of-the-art schemes and applications Supplies authoritative guidance on research and deployment issues Presents novel methods and applications in an informative and reproducible way Contains numerous examples, illustrations, and tables summarizing results from quantitative studies Considers ongoing trends and designates future challenges and research perspectives Includes bibliographic links for further exploration Uses both SI and US units Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.

Semantics - Theories

Semantics - Theories PDF Author: Claudia Maienborn
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110589249
Category : Language Arts & Disciplines
Languages : en
Pages : 450

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Book Description
Now in paperback for the first time since its original publication, the material gathered here is perfect for anyone who needs a detailed and accessible introduction to the important semantic theories. Designed for a wide audience, it will be of great value to linguists, cognitive scientists, philosophers, and computer scientists working on natural language. The book covers theories of lexical semantics, cognitively oriented approaches to semantics, compositional theories of sentence semantics, and discourse semantics. This clear, elegant explanation of the key theories in semantics research is essential reading for anyone working in the area.