Subjective Sentence Recognition Based on Hidden Markov Model
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.
NETL
NSTL
万方数据
维普
