In this work, we propose a Multi-sentimentresource Enhanced Attention Network (MEAN) for sentence-level sentiment classification to integrate many kinds of sentiment linguistic knowledge into deep neural networks via multi-path attention mechanism.
we first design a coupled word embedding module to model the word representation from character-level and word-level semantics.