TY - GEN
T1 - Detecting Chinese wish messages in social media
T2 - 7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013
AU - Chang, George
AU - Huang, Han Shen
AU - Hsu, Jane Yung Jen
PY - 2013
Y1 - 2013
N2 - People have wishes and sometimes share their wishes in social media, hoping to receive supports or to find partners with the same wishes. By collecting and analyzing those wishes, we may find out not only the trend of common wishes, but also the needs of individuals. This paper presents a preliminary study of Chinese wish detection. We provide analysis on the data from Linkwish, which is a micro social network for wish sharing with users mainly from Taiwan, Hong Kong, and Macao. Then, we use SVM with various types of features to classify these messages as wish or not. Our experimental results show that some features can achieve average areas under precision-recall curves higher than 0.95 in 10-fold cross validation.
AB - People have wishes and sometimes share their wishes in social media, hoping to receive supports or to find partners with the same wishes. By collecting and analyzing those wishes, we may find out not only the trend of common wishes, but also the needs of individuals. This paper presents a preliminary study of Chinese wish detection. We provide analysis on the data from Linkwish, which is a micro social network for wish sharing with users mainly from Taiwan, Hong Kong, and Macao. Then, we use SVM with various types of features to classify these messages as wish or not. Our experimental results show that some features can achieve average areas under precision-recall curves higher than 0.95 in 10-fold cross validation.
UR - https://www.scopus.com/pages/publications/84900403716
U2 - 10.1609/icwsm.v7i1.14462
DO - 10.1609/icwsm.v7i1.14462
M3 - 会议稿件
AN - SCOPUS:84900403716
SN - 9781577356103
T3 - Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013
SP - 677
EP - 680
BT - Proceedings of the 7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013
PB - Association for the Advancement of Artificial Intelligence
Y2 - 8 July 2013 through 11 July 2013
ER -