This paper is addressing the social relationship labeling problem by exploiting users' multi-modal behaviors and abundant social interactions on Twitter. This can effectively alleviate the problem of lacking specific information… Click to show full abstract
This paper is addressing the social relationship labeling problem by exploiting users' multi-modal behaviors and abundant social interactions on Twitter. This can effectively alleviate the problem of lacking specific information of following relationships. The experimental results demonstrate the effectiveness of the designed features and different classifiers.
               
Click one of the above tabs to view related content.