Language Processing In Social Context
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Language Processing In Social Context
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Author : R. Dietrich
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Language Processing In Social Context written by R. Dietrich and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Language Arts & Disciplines categories.
The book presents an interdisciplinary analysis of social, cognitive, situational and contextual aspects of language and language processing by first and second language speakers. Linguists and psychologists formulate theoretical models and empirical analyses of the influence of such factors on various levels of language processing. These relate specifically to syntactic and semantic parsing, lexical selection, and text production. The issue of ``hearer orientation'' in language use lies at the forefront of interest in this anthology and is tackled from such different fields as linguistics, text linguistics, formal semantics, social psychology, psychology of language, artificial intelligence, and second language acquisition.
Socially Situated Effects Of Social And Cultural Context On Language Processing And Learning
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Author : Pia Knoeferle
language : en
Publisher: Frontiers Media SA
Release Date : 2022-04-25
Socially Situated Effects Of Social And Cultural Context On Language Processing And Learning written by Pia Knoeferle and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-25 with Science categories.
Natural Language Processing For Social Media
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Author : Atefeh Farzindar
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-12-15
Natural Language Processing For Social Media written by Atefeh Farzindar and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.
Natural Language Processing For Social Media
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Author : Anna Atefeh Farzindar
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-04-10
Natural Language Processing For Social Media written by Anna Atefeh Farzindar and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
Natural Language Processing For Social Media Second Edition
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Author : Atefeh Farzindar
language : en
Publisher: Springer Nature
Release Date : 2017-12-15
Natural Language Processing For Social Media Second Edition written by Atefeh Farzindar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.
Language And Social Situations
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Author : Joseph P. Forgas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Language And Social Situations written by Joseph P. Forgas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Psychology categories.
Most of our interactions with others occur within the framework of recurring social situations, and the language choices we make are intimately tied to situational features. Although the interdependence between language and social situations has been well recognized at least since G. H. Mead developed his symbolic interactionist theory, psychologists have been reluctant to devote much interest to this domain until recently. Yet it is arguable that a detailed understanding of the subtle links between situational features and language use must lie at the heart of any genuinely social psychology. This volume contains original contributions from psychologists, linguists and philosophers from the United States, Canada, Europe, Israel, and Australia who share an interest in the social-psychological aspects of language. Their work represents one of the first concentrated attempts to chart the possibilities of this exciting field. It is perhaps in order to say a few words about the origins of this book. The need for a volume integrating research on language and social situations first emerged during the 2nd International Conference of Language and Social Psychology at Bristol University in 1983, at which I was convening a symposium with a similar title at the request of the organizers, Peter Robinson and Howard Giles. When they first approached me with this idea in 1982, I gladly accepted, since my own research on cognitive representations of social episodes seemed eminently relevant to a symposium on language and social situations.
The Social Context Of Language
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Author : Ivana Marková
language : en
Publisher: John Wiley & Sons
Release Date : 1978
The Social Context Of Language written by Ivana Marková and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Language Arts & Disciplines categories.
Context In The System And Process Of Language
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Author : Ruqaiya Hasan
language : en
Publisher: Equinox
Release Date : 2012-11-30
Context In The System And Process Of Language written by Ruqaiya Hasan and has been published by Equinox this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-30 with Language Arts & Disciplines categories.
The concept "context of situation" introduced by Malinowski some eighty years ago has now become an essential element of the vocabulary of any linguistic theory whose aim is to reveal the nature of language. With the abandonment of the spurious distinction between competence and performance, the process of language, i.e., language use, has claimed its rightful place in the study of language. The chapters of this book focus on the relations of context and text, conceptualising the latter as language operative in some recognizable social context. It is argued that context is not simply a backdrop for the occurrence of words; rather, it is an active element which on the one hand plays a crucial role in the progression of human discourse and on the other enters into and shapes the very nature of language as process and as system, furnishing the foundation for functionality in language. Acting as the interface between language and society, context analysis reveals the power of language for creating, maintaining and changing human relationships.
Attention And Vision In Language Processing
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Author : Ramesh Kumar Mishra
language : en
Publisher: Springer
Release Date : 2015-07-13
Attention And Vision In Language Processing written by Ramesh Kumar Mishra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-13 with Language Arts & Disciplines categories.
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.
Social Neuroscience
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Author : John T. Cacioppo
language : en
Publisher: MIT Press
Release Date : 2006
Social Neuroscience written by John T. Cacioppo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Medical categories.
Studies in the neurobiological underpinnings of social information processing by psychologists, neurobiologists, psychiatrists, radiologists, and neurologists, using methods that range from brain imaging techniques to comparative analyses. Social neuroscience uses the methodologies and tools developed to measure mental and brain function to study social cognition, emotion, and behavior. In this collection John Cacioppo, Penny Visser, and Cynthia Pickett have brought together contributions from psychologists, neurobiologists, psychiatrists, radiologists, and neurologists that focus on the neurobiological underpinnings of social information processing, particularly the mechanisms underlying "people thinking about thinking people." In these studies such methods as functional brain imaging, studies of brain lesion patients, comparative analyses, and developmental data are brought to bear on social thinking and feeling systems—the ways in which human beings influence and are influenced by other humans. The broad range of disciplines represented by the contributors confirms that among the strengths of social neuroscience are its interdisciplinary approach and the use of multiple methods that bridge disciplines and levels of analysis.