TY - GEN
T1 - Will this #hashtag be popular tomorrow?
AU - Ma, Zongyang
AU - Sun, Aixin
AU - Cong, Gao
PY - 2012
Y1 - 2012
N2 - Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing the hashtag, and extract both content and context features for hashtag popularity prediction. We model this prediction problem as a classification problem and evaluate the effectiveness of the extracted features and classification models.
AB - Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing the hashtag, and extract both content and context features for hashtag popularity prediction. We model this prediction problem as a classification problem and evaluate the effectiveness of the extracted features and classification models.
KW - hashtag
KW - hashtag clarity
KW - popularity prediction
KW - twitter
UR - http://www.scopus.com/inward/record.url?scp=84866633910&partnerID=8YFLogxK
U2 - 10.1145/2348283.2348525
DO - 10.1145/2348283.2348525
M3 - Conference Proceeding
AN - SCOPUS:84866633910
SN - 9781450316583
T3 - SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1173
EP - 1174
BT - SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
T2 - 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012
Y2 - 12 August 2012 through 16 August 2012
ER -