Name
Abstract | ||
|---|---|---|
A microblogging, such as the Twitter, is a Social Networking Service that allows the publication of short messages. Currently, Twitter has more than 270 million monthly active users, and it is widely used to discuss the most variety of topics. Due to the large amount of information circulating on Twitter, and the facility to publish and read messages through the web or mobile devices, Twitter has attracted the interest of the general public, companies, media etc. By analyzing the Twitter's stream of data, one can identify trends, events, or even the feelings of its users. Here, we introduce a dataset of tweets about the World Cup 2014, collected from January to August of 2014; present some descriptive statistics about the data; and, finally, we show a sentiment analysis study about the Brazilian population regarding to the Brazilian national team. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-21404-7_33 | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT I |
Field | DocType | Volume |
Publication,Descriptive statistics,Population,World Wide Web,Social media,Social network,Sentiment analysis,Computer science,Portuguese,Microblogging,Computer network,Mobile device | Conference | 9155 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.37 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wilson Seron | 1 | 1 | 0.37 |
| Ezequiel Roberto Zorzal | 2 | 1 | 1.73 |
| Marcos G. Quiles | 3 | 94 | 15.80 |
| Márcio P. Basgalupp | 4 | 128 | 9.87 |
| Fabricio A. Breve | 5 | 69 | 8.79 |