Leveraging multiple features for document sentiment classification.

•Sentiment environment, POS tag, emoticon information and character information are combined with a CNN or RNN model to extract sentence-level features.•A hierarchical structure and a man-made rule are leveraged together to combine representation for each sentence into document-level representation.•Experimental results demonstrate that our method can improve the document sentiment classification performance.•Ablation experiments prove the usefulness of the features.