Subjective and Objective Classification of Micro-blog Based on Feature Fusion
Zhang Xiao-me · Zhongwen xinxi xuebao · 2014
To deal with issues in the existing micro-blog subjective and objective classification such as high redundancy in features and failure in employing the complementarity among the feature selection method,this study proposes a feature fusion approach to subjective and objective classification of micro-blog.In order to get more effective features,the study combines a variety of different feature selection methods,and uses the feature fusion algorithm to select and fuse the basic features including word features,content features,micro-blog features and so on.The experimental results using Sina micro-blog data show that the feature fusion algorithm can achieve better performance than the best single one.