Modeling of Narrative
Inderjeet Mani
2012
Natural Language Processing for Historical Texts
Michael Piotrowski
2012
Sentiment Analysis and Opinion Mining
Bing Liu
2012
Discourse Processing
Manfred Stede
2011
Bitext Alignment
Jörg Tiedemann
2011
Linguistic Structure Prediction
Noah A. Smith
2011
Learning to Rank for Information Retrieval and Natural Language Processing
Hang Li
2011
Computational Modeling of Human Language Acquisition
Afra Alishahi
2010
Introduction to Arabic Natural Language Processing
Nizar Y. Habash
2010
Cross-Language Information Retrieval
Jian-Yun Nie
2010
Automated Grammatical Error Detection for Language Learners
Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault
2010
Data-Intensive Text Processing with MapReduce
Jimmy Lin and Chris Dyer
2010
Semantic Role Labeling
Martha Palmer, Daniel Gildea, and Nianwen Xue
2010
Spoken Dialogue Systems
Kristiina Jokinen and Michael McTear
2009
Introduction to Chinese Natural Language Processing
Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang
2009
Introduction to Linguistic Annotation and Text Analytics
Graham Wilcock
2009
Dependency Parsing
Sandra Kübler, Ryan McDonald, and Joakim Nivre
2009
Statistical Language Models for Information Retrieval
ChengXiang Zhai
2008
Copyright © 2020 by Morgan & Claypool
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Natural Language Processing for Social Media, Third Edition
Anna Atefeh Farzindar and Diana Inkpen
ISBN: 9781681738116 paperback
ISBN: 9781681738123 ebook
ISBN: 9781681738147 epub
ISBN: 9781681738130 hardcover
DOI 10.2200/S00999ED3V01Y202003HLT046
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON HUMAN LANGUAGE TECHNOLOGIES
Lecture #46
Series Editor: Grame Hirst, University of Toronto
Series ISSN
Print 1947-4040 Electronic 1947-4059
Cover art illustration by Anna Atefeh Farzindar.
Natural Language Processing for Social Media
Third Edition
Anna Atefeh Farzindar
University of Southern California
Diana Inkpen
University of Ottawa
SYNTHESIS LECTURES ON HUMAN LANGUAGE TECHNOLOGIES #46
ABSTRACT
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
