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024 7 $a10.1007/978-3-031-52719-7
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035   $a(DE-He213)978-3-031-52719-7
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200 10$aMaking Sense of Large Social Media Corpora $eKeywords, Topics, Sentiment, and Hashtags in the Coronavirus Twitter Corpus /$fby Antonio Moreno-Ortiz
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2024.
215   $a1 online resource (202 pages)
311 08$a9783031527180 
327   $aChapter 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.
330   $aThis 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. Antonio Moreno-Ortiz is a lecturer at the Faculty of Arts of the University of Malaga, Spain.
606   $aLinguistics$xMethodology
606   $aSocial media
606   $aCommunication in medicine
606   $aApplied linguistics
606   $aResearch Methods in Language and Linguistics
606   $aSocial Media
606   $aHealth Communication
606   $aApplied Linguistics
615  0$aLinguistics$xMethodology.
615  0$aSocial media.
615  0$aCommunication in medicine.
615  0$aApplied linguistics.
615 14$aResearch Methods in Language and Linguistics.
615 24$aSocial Media.
615 24$aHealth Communication.
615 24$aApplied Linguistics.
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996   $aMaking Sense of Large Social Media Corpora$94241132
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