Research on text processing model based on CNN and B-LSTM

Abstract

Keywords:
• text sentiment classification,
• CNN,
• LSTM,
• PaddlePaddle

References

1. [1]

   王雪娇.基于深度学习的文本情感分析[D].长春:吉林大学,2016.
   

2. [2]

   YU H,HATZIVASSILOGLOU V.Towards answering opinion questions:separating facts from opinions and identifying the polarity of opinion sentences[C]//Proceedings of Conference on Empirical Methods in Natural Language Processing,Sapporo:ACL,2003:129.

3. [3]

   BUDANITSKY A,HIRST G.Evaluating wordnet-based measures of lexical semantic relatedness[J].Computational Linguistics,2006,32(1):13.

4. [4]

   VELIKOVICH L,BLAIR-GOLDENSOHN S,HANNAN K,et al.The viability of web-derived polarity lexicons[C]//Proceedings of Annual Conference of the North American Chapter of the Association for Computational Linguistics,Los Angeles:NAACL,2010:777.

5. [5]

   PANG B,LEE L,VAITHYANATHAN S.Thumbs up sentiment classification using machine learning techniques[C]//Proceedings of Conference on Empirical Methods in Natural Language Processing,Philadelphia:ACL,2002:79.

6. [6]

   KIM S M,HOVY E H.Automatic identification of pro and con reasons in online reviews[C]//Proceedings of the Meeting of the Association for Computational Linguistics,Sydney:ACL 2006:483.

7. [7]

   READ J,CARROLL J.Weakly supervised techniques for domain-independent sentiment classification[C]//Proceedings of Conference on Information and Knowledge Management,Hongkong:ACL,2009:45.

8. [8]

   BENGIO Y,DUCHARME R,VINCENT P,et al.A neural probabilistic language model[J].The Journal of Machine Learning Research,2003(3):1137.

9. [9]

   HOCHREITER S,SCHMIDHUBER J.Long short-term memory[J].Neural Computarion,1997,9(8):1735.

10. [10]

    COLLOBERT R,WESTON J.A unified architecture for natural language processing:deep neural networks with multitask learning[C]//Proceedings of International Conference on Machine learning,Helsinki:ICML,2008:160.

11. [11]

    KIM Y.Convolutional neural networks for sentence classification[C]//Proceedings of Empirical Methods in Natural Language Processing,Doha:ACL,2014:1746.

Proportional views