Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Smailovic, Jasmina"'
Publikováno v:
PLoS ONE 13(3): e0194317, 2018
Social media are becoming an increasingly important source of information about the public mood regarding issues such as elections, Brexit, stock market, etc. In this paper we focus on sentiment classification of Twitter data. Construction of sentime
Externí odkaz:
http://arxiv.org/abs/1803.05160
Publikováno v:
PLoS ONE 11(5): e0155036, 2016
What are the limits of automated Twitter sentiment classification? We analyze a large set of manually labeled tweets in different languages, use them as training data, and construct automated classification models. It turns out that the quality of cl
Externí odkaz:
http://arxiv.org/abs/1602.07563
Publikováno v:
PLoS ONE 10(12): e0144296, 2015
There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used as a short
Externí odkaz:
http://arxiv.org/abs/1509.07761
Publikováno v:
PLoS ONE 10(7): e0131184 (2015)
Large-scale data from social media have a significant potential to describe complex phenomena in real world and to anticipate collective behaviors such as information spreading and social trends. One specific case of study is represented by the colle
Externí odkaz:
http://arxiv.org/abs/1504.06861
Autor:
Kranjc, Janez, Smailović, Jasmina, Podpečan, Vid, Grčar, Miha, Žnidaršič, Martin, Lavrač, Nada
Publikováno v:
In Information Processing and Management March 2015 51(2):187-203
Publikováno v:
In Information Sciences 20 November 2014 285:181-203
Publikováno v:
2015 IEEE International Conference on Data Science & Advanced Analytics (DSAA); 2015, p1-10, 10p
Publikováno v:
2014 Tenth International Conference on Signal-Image Technology & Internet-Based Systems; 2014, p376-382, 7p