Author: Ted Sanders
Publisher: John Benjamins Publishing
ISBN: 9027297673
Category : Language Arts & Disciplines
Languages : en
Pages : 372
Book Description
This book brings together linguistics and psycholinguistics. Text representation is considered a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding. The focus is on referential and relational coherence and the role of linguistic characteristics as processing instructions from a text linguistic and discourse psychology point of view. Consequently, this book presents various research methodologies: linguistic analysis, text analysis, corpus linguistics, computational linguistics, argumentation analysis, and the experimental psycholinguistic study of text processing. The authors compare, test, and evaluate linguistic and processing theories of text representation. A state of the art volume in an emerging field of interest, located at the very heart of our communicative behavior: the study of text and text representation.
Text Representation
Author: Ted Sanders
Publisher: John Benjamins Publishing
ISBN: 9027297673
Category : Language Arts & Disciplines
Languages : en
Pages : 372
Book Description
This book brings together linguistics and psycholinguistics. Text representation is considered a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding. The focus is on referential and relational coherence and the role of linguistic characteristics as processing instructions from a text linguistic and discourse psychology point of view. Consequently, this book presents various research methodologies: linguistic analysis, text analysis, corpus linguistics, computational linguistics, argumentation analysis, and the experimental psycholinguistic study of text processing. The authors compare, test, and evaluate linguistic and processing theories of text representation. A state of the art volume in an emerging field of interest, located at the very heart of our communicative behavior: the study of text and text representation.
Publisher: John Benjamins Publishing
ISBN: 9027297673
Category : Language Arts & Disciplines
Languages : en
Pages : 372
Book Description
This book brings together linguistics and psycholinguistics. Text representation is considered a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding. The focus is on referential and relational coherence and the role of linguistic characteristics as processing instructions from a text linguistic and discourse psychology point of view. Consequently, this book presents various research methodologies: linguistic analysis, text analysis, corpus linguistics, computational linguistics, argumentation analysis, and the experimental psycholinguistic study of text processing. The authors compare, test, and evaluate linguistic and processing theories of text representation. A state of the art volume in an emerging field of interest, located at the very heart of our communicative behavior: the study of text and text representation.
Practical Natural Language Processing
Author: Sowmya Vajjala
Publisher: O'Reilly Media
ISBN: 149205402X
Category : Computers
Languages : en
Pages : 455
Book Description
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Publisher: O'Reilly Media
ISBN: 149205402X
Category : Computers
Languages : en
Pages : 455
Book Description
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Representation and the Text
Author: William G. Tierney
Publisher: State University of New York Press
ISBN: 1438422148
Category : Education
Languages : en
Pages : 350
Book Description
Focuses on authorial representations of contested reality in qualitative research.This book focuses on representations of contested realities in qualitative research. The authors examine two separate, but interrelated, issues: criticisms of how researchers use "voice," and suggestions about how to develop experimental voices that expand the range of narrative strategies. Changing relationships between researchers and respondents dictate alterations in textual representations--from the "view from nowhere" to the view from a particular location, and from the omniscient voice to the polyvocality of communities of individuals. Examples of new representations and textual experiments provide models for how some authors have struggled with voice in their texts, and in so doing, broaden who they and we mean by "us."
Publisher: State University of New York Press
ISBN: 1438422148
Category : Education
Languages : en
Pages : 350
Book Description
Focuses on authorial representations of contested reality in qualitative research.This book focuses on representations of contested realities in qualitative research. The authors examine two separate, but interrelated, issues: criticisms of how researchers use "voice," and suggestions about how to develop experimental voices that expand the range of narrative strategies. Changing relationships between researchers and respondents dictate alterations in textual representations--from the "view from nowhere" to the view from a particular location, and from the omniscient voice to the polyvocality of communities of individuals. Examples of new representations and textual experiments provide models for how some authors have struggled with voice in their texts, and in so doing, broaden who they and we mean by "us."
Encyclopedia of Database Systems
Author: Ling Liu
Publisher:
ISBN: 9781489979933
Category : Database management
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781489979933
Category : Database management
Languages : en
Pages :
Book Description
Text as Data
Author: Justin Grimmer
Publisher: Princeton University Press
ISBN: 0691207550
Category : Computers
Languages : en
Pages : 360
Book Description
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
Publisher: Princeton University Press
ISBN: 0691207550
Category : Computers
Languages : en
Pages : 360
Book Description
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
Text Analysis and Representation
Author: Ian Cushing
Publisher: Cambridge University Press
ISBN: 1108401112
Category : Juvenile Nonfiction
Languages : en
Pages : 135
Book Description
Essential study guides for the future linguist. Text Analysis and Representation is a general introduction to the methods and principles behind English linguistics study, suitable for students at advanced level and beyond. Written with input from the Cambridge English Corpus, it looks at the way meaning is made using authentic written and spoken examples. This helps students give confident analysis and articulate responses. Using short activities to help explain analysis methods, this book guides students through major modern issues and concepts. It summarises key concerns and modern findings, while providing inspiration for language investigations and non-examined assessments (NEAs) with research suggestions.
Publisher: Cambridge University Press
ISBN: 1108401112
Category : Juvenile Nonfiction
Languages : en
Pages : 135
Book Description
Essential study guides for the future linguist. Text Analysis and Representation is a general introduction to the methods and principles behind English linguistics study, suitable for students at advanced level and beyond. Written with input from the Cambridge English Corpus, it looks at the way meaning is made using authentic written and spoken examples. This helps students give confident analysis and articulate responses. Using short activities to help explain analysis methods, this book guides students through major modern issues and concepts. It summarises key concerns and modern findings, while providing inspiration for language investigations and non-examined assessments (NEAs) with research suggestions.
Representation Learning for Natural Language Processing
Author: Zhiyuan Liu
Publisher: Springer Nature
ISBN: 9811555737
Category : Computers
Languages : en
Pages : 319
Book Description
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Publisher: Springer Nature
ISBN: 9811555737
Category : Computers
Languages : en
Pages : 319
Book Description
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Applied Text Analysis with Python
Author: Benjamin Bengfort
Publisher: "O'Reilly Media, Inc."
ISBN: 1491962992
Category : Computers
Languages : en
Pages : 328
Book Description
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
Publisher: "O'Reilly Media, Inc."
ISBN: 1491962992
Category : Computers
Languages : en
Pages : 328
Book Description
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
The Construction of Mental Representations During Reading
Author: Herre van Oostendorp
Publisher: Psychology Press
ISBN: 1135688397
Category : Psychology
Languages : en
Pages : 464
Book Description
This volume presents in-depth investigations of the processes of meaning-making during reading at both local (discourse) and global (general knowledge) levels. It considerably extends our knowledge of how mental representations are constructed and updated during reading. The book also provides insight into the process of representation construction by using online measures and relating this process with final memory representations; provides detailed models of these processes; pays attention to the coordination of multiple representations constructed; focuses on the monitoring and updating of mental representations; and applies all this knowledge to richer and more complicated texts than are often used in laboratories.
Publisher: Psychology Press
ISBN: 1135688397
Category : Psychology
Languages : en
Pages : 464
Book Description
This volume presents in-depth investigations of the processes of meaning-making during reading at both local (discourse) and global (general knowledge) levels. It considerably extends our knowledge of how mental representations are constructed and updated during reading. The book also provides insight into the process of representation construction by using online measures and relating this process with final memory representations; provides detailed models of these processes; pays attention to the coordination of multiple representations constructed; focuses on the monitoring and updating of mental representations; and applies all this knowledge to richer and more complicated texts than are often used in laboratories.
Interoperability and retrieval
Author: Mukhopadhyay, Parthasarathi
Publisher: UNESCO Publishing
ISBN: 9231000772
Category :
Languages : en
Pages : 161
Book Description
Publisher: UNESCO Publishing
ISBN: 9231000772
Category :
Languages : en
Pages : 161
Book Description