| Autor: |
Andrei P. Kirilenko |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
Data in Brief, Vol 13, Iss , Pp 605-608 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2017.06.040 |
| Popis: |
Presented data is related to the research article “Sochi 2014 Olympics on Twitter: Perspectives of Hosts and Guests” [2]. The data were collected through regular API Twitter search for five months windowing 2014 Sochi Olympic Games and further used for cluster analysis and analysis of the sentiment on the Games. The main dataset contains 616 thousand tweets, rigorously cleaned and filtered to remove irrelevant content. To comply with the Twitter API user agreement, the dataset presented in this article includes only generalized daily data with all information contained in individual tweets removed. The proposed use of the dataset is academic research of changing discussion on the topics related to Mega-events in conjunction with political events. Keywords: Mega sports event, Olympic Games, Classification, Social networks, Twitter |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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