About the paper
| Title |
Analysis of sentiment change over time using user status updates from social networks |
| Book |
ICIST 2014 Proceedings |
| Pages |
86-90 |
| Abstract: Social networks' users usually post status
updates of their opinions on and reactions to events almost
instantly. Because of this, pre-announced events, especially
ones that divide the public, lead to generation of a large
quantity of status updates in the days just before and after
the event. Status updates published before the event usually
contain speculations about what will happen, and those
published after represent the reaction to what actually
happened. In this paper we analyze the change of sentiment
in tweets collected in following few days after a specific preannounced
event. We also discuss can this analysis be used
for prediction, as an indicator of to which extent will this
event fulfill its designated long term goal. |
Full citation
Ćirić, M.,
Stanimirović, A.,
Stoimenov, L.
Analysis of sentiment change over time using user status updates from social networks. In:
Zdravković, M.,
Trajanović, M.,
Konjović, Z.
(Eds.)
ICIST 2014 Proceedings, pp.86-90, Belgrade, Serbia, 2014
Keywords
Data analytics
Social networks