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OverviewThis open access book offers a comprehensive overview of available techniques and approaches to explore large social media corpora, using as an illustrative case study the Coronavirus Twitter corpus. First, the author describes in detail a number of methods, strategies, and tools that can be used to access, manage, and explore large Twitter/X corpora, including both user-friendly applications and more advanced methods that involve the use of data management skills and custom programming scripts. He goes on to show how these tools and methods are applied to explore one of the largest Twitter datasets on the COVID-19 pandemic publicly released, covering the two years when the pandemic had the strongest impact on society. Specifically, keyword extraction, topic modelling, sentiment analysis, and hashtag analysis methods are described, contrasted, and applied to extract information from the Coronavirus Twitter Corpus. The book will be of interest to students and researchers in fields that make use of big data to address societal and linguistic concerns, including corpus linguistics, sociology, psychology, and economics. Full Product DetailsAuthor: Antonio Moreno-OrtizPublisher: Springer International Publishing AG Imprint: Palgrave Macmillan Edition: 1st ed. 2024 ISBN: 9783031527180ISBN 10: 3031527186 Pages: 192 Publication Date: 30 April 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsChapter 1 - Introduction.- Chapter 2 Managing large Twitter datasets.- Chapter 3. Keywords.- Chapter 4. Topics.- Chapter 5. Sentiment.- Chapter 6. Entities.- Chapter 7. Other social media semantic items: hashtags and emojis.- Chapter 8. Lessons learned.ReviewsAuthor InformationAntonio Moreno-Ortiz is a lecturer at the Faculty of Arts of the University of Malaga, Spain. Tab Content 6Author Website:Countries AvailableAll regions |