A Deep Neural Architecture for Sentence-Level Sentiment Classification in Twitter Social Networking

@article{Nguyen2017ADN,
  title={A Deep Neural Architecture for Sentence-Level Sentiment Classification in Twitter Social Networking},
  author={Huy-Thanh Nguyen and Minh Le Nguyen},
  journal={ArXiv},
  year={2017},
  volume={abs/1706.08032}
}
This paper introduces a novel deep learning framework including a lexicon-based approach for sentence-level prediction of sentiment label distribution. [] Key Method After that, a Bidirectional Long Short-Term Memory network (Bi-LSTM) produces a sentence-wide feature representation from the word-level embedding. We evaluate our approach on three twitter sentiment classification datasets. Experimental results show that our model can improve the classification accuracy of sentence-level sentiment analysis in…

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