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Natural Language Processing for Social Media, Third Edition (3rd Ed.) Synthesis Lectures on Human Language Technologies Series

Langue : Anglais

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Couverture de l’ouvrage Natural Language Processing for Social Media, Third Edition

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.

List of Figures.- List of Tables.- Preface.- Acknowledgments.- Introduction to Social Media Analysis.- Linguistic Pre-processing of Social Media Texts.- Semantic Analysis of Social Media Texts.- Applications of Social Media Text Analysis.- Data Collection, Annotation, and Evaluation.- Conclusion and Perspectives.- Glossary.- Bibliography.- Authors' Biographies.- Index.
Dr. Atefeh (Anna) Farzindar is a research associate of the Data Science Institute (DSI) and a faculty member of the Department of Computer Science, Viterbi School of Engineering at the University of Southern California (USC). She received her Ph.D. in Computer Science from the University of Montreal and her Doctorate in automatic summarization of legal documents from Paris-Sorbonne University in 2005. Dr. Farzindar was founder and CEO of NLP Technologies Inc. specializing in natural language processing, summarization of legal decisions, machine translation, and social media analysis. She has served as Industry Chair of the Canadian Artificial Intelligence Association (2013-2015); General Co-chair of the 2013 AI/GI/CRV Conference, Regina, Canada; General Chair of the 2014 AI/GI/CRV Conference, Montreal, Canada; Program Committee co-chair for the 23rd Canadian Conference on Artificial Intelligence (AI 2010), Ottawa, Canada; Chair of the technology sector of the Language Industry Association Canada (AILIA 2009-2013); Vice President of The Language Technologies Research Centre (LTRC) of Canada (2012-2014); member of the Natural Sciences and Engineering Research Council of Canada (NSERC) Computer Science Liai-on Committee (since 2014); and member of the Canadian Advisory Committee of International Organization for Standardization (ISO). She was an Adjunct Professor at the University of Montreal, Canada (2009–2015), Lecturer at Polytechnique Montreal, engineering school (2012-2014), and Visiting Professor and Honorary Research Fellow at the Research Group in Computational Linguistics at the University of Wolverhampton, UK (2010-2012). Dr. Farzindar won Femmessor-Montreal's contest, ""Succeeding with a balanced lifestyle,"" in the Innovative Technology and Information and Communications Technology category because of her involvement in the arts. Her paintings were published in the book One Thousand and One Nights in 2014. She has published more than 50 conference and jo

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