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We propose a novel two-layered attention network based on Bidirectional Long Short-Term Memory for sentiment analysis. The novel two-layered attention network takes advantage of the external knowledge bases to improve the sentiment prediction. It uses the Knowledge Graph Embedding generated using the Word-Net. We build our model by combining the two-layered attention network with the supervised model based on Support Vector Regression using a Multilayer Perceptron network for sentimentdoi:10.18653/v1/n18-2041 dblp:conf/naacl/KumarKK18 fatcat:rctoab4wrrgpbdqzm6liok4tjy