TY - GEN
T1 - Location type classification using tweet content
AU - Liu, Haibin
AU - Luo, Bo
AU - Lee, Dongwon
PY - 2012
Y1 - 2012
N2 - Location context in social media plays an important role in many applications. In addition to explicit location sharing via popular check in service, user-posted content could also implicitly reveals users location context. Identifying such a location context based on content is an interesting problem because it is not only important in inferring social ties between people, but also vital for applications such as user profiling and targeted advertising. In this paper, we study the problem of location type classification using tweet content. We extend probabilistic text classification models to incorporate temporal features and user history information in terms of probabilistic priors. Experimental results show that our extensions can boost classification accuracy effectively.
AB - Location context in social media plays an important role in many applications. In addition to explicit location sharing via popular check in service, user-posted content could also implicitly reveals users location context. Identifying such a location context based on content is an interesting problem because it is not only important in inferring social ties between people, but also vital for applications such as user profiling and targeted advertising. In this paper, we study the problem of location type classification using tweet content. We extend probabilistic text classification models to incorporate temporal features and user history information in terms of probabilistic priors. Experimental results show that our extensions can boost classification accuracy effectively.
UR - http://www.scopus.com/inward/record.url?scp=84873604258&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873604258&partnerID=8YFLogxK
U2 - 10.1109/ICMLA.2012.47
DO - 10.1109/ICMLA.2012.47
M3 - Conference contribution
AN - SCOPUS:84873604258
SN - 9780769549132
T3 - Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
SP - 232
EP - 237
BT - Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
T2 - 11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012
Y2 - 12 December 2012 through 15 December 2012
ER -