Improved Memory Network for Aspect Sentiment Analysis
Han Hu, Xuxu Bai, Jin Liu · DEStech Transactions on Computer Science and Engineering · 2018
In order to explore impact of different memory modules under the framework of deep memory network for aspect level sentiment classification, three kinds of different memory modules are designed. One of them uses CNN to build a memory module, which is capable of capturing local information from original sentence. The other one of them uses BiLSTM to build another memory module, which is capable of capturing sequence information. And the last one of them uses CNN and BiLSTM, which combines both local and sequence information together, to build memory module at the same time. Experiments on laptop and restaurant datasets demonstrate that our three methods achieve better results than MemNet and feature based SVM approach.