TY - GEN
T1 - Realtime social sensing of support rate for microblogging
AU - Huang, Jun
AU - Iwaihara, Mizuho
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2011.
PY - 2011
Y1 - 2011
N2 - This paper proposes realtime estimation of support rate based on social sensors. Nowadays, micro blogs like Twitter have gained wide popularity, especially among the youth for its capability of updating personal opinions in a realtime manner. Academically, they have received tremendous attention as well. We argue that realtime events that have great influence on the attitudes of Twitter users can be detected by strategically monitoring tweets on certain topics. Building on the collected data, sentiment analysis enables us to calculate percentage of positive tweets, namely, support rate. In particular, given Twitter’s realtime nature, the support rate calculation shall also be done in realtime. Drawing on World Cup 2010, we collect a large amount of tweets and carry out analysis so as to extract sentiment information of the audience and go further to show the realtime support rate of the participators.
AB - This paper proposes realtime estimation of support rate based on social sensors. Nowadays, micro blogs like Twitter have gained wide popularity, especially among the youth for its capability of updating personal opinions in a realtime manner. Academically, they have received tremendous attention as well. We argue that realtime events that have great influence on the attitudes of Twitter users can be detected by strategically monitoring tweets on certain topics. Building on the collected data, sentiment analysis enables us to calculate percentage of positive tweets, namely, support rate. In particular, given Twitter’s realtime nature, the support rate calculation shall also be done in realtime. Drawing on World Cup 2010, we collect a large amount of tweets and carry out analysis so as to extract sentiment information of the audience and go further to show the realtime support rate of the participators.
KW - Event detection
KW - Realtime
KW - Sentiment classification
KW - Support rate
UR - http://www.scopus.com/inward/record.url?scp=85025167004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025167004&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20244-5_34
DO - 10.1007/978-3-642-20244-5_34
M3 - Conference contribution
AN - SCOPUS:85025167004
SN - 9783642202438
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 357
EP - 368
BT - Database Systems for Adanced Applications - 16th International Conference, DASFAA 2011, International Workshops
A2 - Xu, Jianliang
A2 - Yu, Ge
A2 - Zhou, Shuigeng
A2 - Unland, Rainer
PB - Springer Verlag
T2 - 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
Y2 - 22 April 2011 through 25 April 2011
ER -