Téléchargez le livre : Making Sense of Large Social Media Corpora

Making Sense of Large Social Media Corpora

Keywords, Topics, Sentiment, and Hashtags in the Coronavirus Twitter Corpus

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Éditeur :

Palgrave Macmillan


Paru le : 2024-04-29



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Description

This 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.
Pages
192 pages
Collection
n.c
Parution
2024-04-29
Marque
Palgrave Macmillan
EAN papier
9783031527180
EAN PDF
9783031527197
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
6134 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
0,00 €
EAN EPUB
9783031527197
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
13629 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
0,00 €

Antonio Moreno-Ortiz is a lecturer at the Faculty of Arts of the University of Malaga, Spain.

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