A Joint Model for Chinese Microblog Sentiment Analysis

Yuhui Cao, Zhao Chen, Ruifeng Xu, Tao Chen, Lin Gui
2015 Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing  
Topic-based sentiment analysis for Chinese microblog aims to identify the user attitude on specified topics. In this paper, we propose a joint model by incorporating Support Vector Machines (SVM) and deep neural network to improve the performance of sentiment analysis. Firstly, a SVM Classifier is constructed using N-gram, N-POS and sentiment lexicons features. Meanwhile, a convolutional neural network is applied to learn paragraph representation features as the input of another SVM classifier.
more » ... The classification results outputted by these two classifiers are merged as the final classification results. The evaluations on the SIGHAN-8 Topic-based Chinese microblog sentiment analysis task show that our proposed approach achieves the second rank on micro average F1 and the fourth rank on macro average F1 among a total of 13 submitted systems.
doi:10.18653/v1/w15-3111 dblp:conf/acl-sighan/CaoCXCG15 fatcat:tr3kuj6msjet5jt5ctqvlgi3qy