Polarity Shifting and LSTM Based Recursive Networks for Sentiment Analysis
Liang Ju · Zhongwen xinxi xuebao · 2015
The chain-structured long shortterm memory(LSTM)has been shown to be effective in a wide range of tasks such as language modeling,machine translation and speech recognition.Because it cannot storage the structure of hierarchical information language,we extend it to a tree-structure based recursive neural network to capture more syntactic and semantic information,as well as the sentiment polarity shifting.Compared to LSTM,RNN etc,the proposed model achieves a state-of-the-art performance.