Subjective Sentence Recognition Based on Hidden Markov Model
LIU Peiyu1, 2, XUN Jing2, FEI Shaodong2, ZHU Zhenfang3
1. School of Information Engineering, Shandong Yingcai University, Jinan, Shandong 250104, China; 2. School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong 250014, China; 3. School of Information Science and Electric Engineering, Shandong Jiaotong University, Jinan, Shandong 250357, China
Abstract：The current subjective and objective text classification methods are mainly based on statistical model over the feature lexicon, which didn’t take into account the syntax and semantic relationships between features. The paper proposes a Chinese subjective sentence recognition based on Hidden Markov Model. In this method, seven kinds of subjective and objective features for classification are extracted tagged among each sentence by HMM. The subjective sentences are decided by the importance of features and syntactic structure of sentences. The method is examined in the task of COAE2014 for its effeiciency.
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2016, Vol. 30 
