Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

@inproceedings{Tang2015LearningSR,
  title={Learning Semantic Representations of Users and Products for Document Level Sentiment Classification},
  author={Duyu Tang and Yanyan Zhao and Ting Liu},
  booktitle={ACL},
  year={2015}
}
Neural network methods have achieved promising results for sentiment classification of text. However, these models only use semantics of texts, while ignoring users who express the sentiment and products which are evaluated, both of which have great influences on interpreting the sentiment of text. In this paper, we address this issue by incorporating userand productlevel information into a neural network approach for document level sentiment classification. Users and products are modeled using… CONTINUE READING

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