Natural Language Processing for Social Media. Diana Inkpen

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      Copyright © 2020 by Morgan & Claypool

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.

      Natural Language Processing for Social Media, Third Edition

      Anna Atefeh Farzindar and Diana Inkpen

       www.morganclaypool.com

      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 СКАЧАТЬ