31.1435, Books: Natural Language Processing for Social Media, Third Edition: Farzindar, Inkpen

[The LINGUIST List]

LINGUIST List: Vol-31-1435. Thu Apr 23 2020. ISSN: 1069 - 4875.

Subject: 31.1435, Books: Natural Language Processing for Social Media, Third Edition: Farzindar, Inkpen

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Date: Thu, 23 Apr 2020 21:25:57
From: Brent Beckley [beckley at morganclaypool.com]
Subject: Natural Language Processing for Social Media, Third Edition: Farzindar, Inkpen

 


Title: Natural Language Processing for Social Media, Third Edition 
Series Title: Human Language Technologies  

Publication Year: 2020 
Publisher: Morgan & Claypool Publishers
	   http://www.morganclaypool.com
	

Book URL: https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1527 


Author: Anna Atefeh Farzindar
Author: Diana Inkpen

Paperback: ISBN:  9781681738116 Pages: 219 Price: U.S. $ 79.95


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 (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.
 



Linguistic Field(s): Computational Linguistics


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=143254




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