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.