Identifying Images Representing Long Microblog Based on PSO-SVM Algorithm
Liu Pin · 2013
Due to the length limitation of micro-blogs,users have to post images containing original text contents when they want to post long micro-blogs.If such images representing long micro-blog can be identified,it will provide more useful information for micro-blog research.An identification method based on support vector machine(SVM)and particle swarm optimization(PSO)is proposed in the paper.Firstly,the color moments and gray level concurrence matrix is extracted from image representing long micro-blog,then the error penalty parameter and kernel function of SVM are optimized by PSO algorithm to obtain the optimal classification model.The results show that,compared with traditional SVM based on grid searching method,the PSO-SVM algorithm has higher accuracy and recall rate of identifying images representing long microblog.