Vertalka, Joshua J. ; Kassens-Noor, Eva ; Wilson, Mark (2019)
Data on sentiments and emotions of olympic-themed tweets.
In: Data in brief, 24
doi: 10.1016/j.dib.2019.103869
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Two code files and one dataset related to Olympic Twitter activity are the foundation for this article. Through Twitter's Spritzer streaming API (Application Programming Interface), we collected over 430 million tweets from May 12th, 2016 to September 12th, 2016 windowing the Rio de Janeiro Olympics and Paralympics. We cleaned and filtered these tweets to contain Olympic-related content. We then analyzed the raw data of 21,218,652 tweets including location data, language, and tweet content to distill the sentiment and emotions of Twitter users pertaining to the Olympic Games Kassens-Noor E. et al., 2019. We generalized the original data set to comply with the Twitter's Terms of Service and Developer agreement, 2018. We present the modified dataset and accompanying code files in this article to suggest using both for further analysis on sentiment and emotions related to the Rio de Janeiro Olympics and for comparative research on imagery and perceptions of other Olympic Games.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Vertalka, Joshua J. ; Kassens-Noor, Eva ; Wilson, Mark |
| Art des Eintrags: | Bibliographie |
| Titel: | Data on sentiments and emotions of olympic-themed tweets |
| Sprache: | Englisch |
| Publikationsjahr: | 1 Juni 2019 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Data in brief |
| Jahrgang/Volume einer Zeitschrift: | 24 |
| Kollation: | 4 Seiten |
| DOI: | 10.1016/j.dib.2019.103869 |
| Kurzbeschreibung (Abstract): | Two code files and one dataset related to Olympic Twitter activity are the foundation for this article. Through Twitter's Spritzer streaming API (Application Programming Interface), we collected over 430 million tweets from May 12th, 2016 to September 12th, 2016 windowing the Rio de Janeiro Olympics and Paralympics. We cleaned and filtered these tweets to contain Olympic-related content. We then analyzed the raw data of 21,218,652 tweets including location data, language, and tweet content to distill the sentiment and emotions of Twitter users pertaining to the Olympic Games Kassens-Noor E. et al., 2019. We generalized the original data set to comply with the Twitter's Terms of Service and Developer agreement, 2018. We present the modified dataset and accompanying code files in this article to suggest using both for further analysis on sentiment and emotions related to the Rio de Janeiro Olympics and for comparative research on imagery and perceptions of other Olympic Games. |
| Zusätzliche Informationen: | Artikel-ID: 103869 |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr > Institut für Verkehrsplanung und Verkehrstechnik |
| Hinterlegungsdatum: | 27 Mär 2024 11:59 |
| Letzte Änderung: | 27 Mär 2024 11:59 |
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