[[1] Wang Y, Sun A, Han J, Zhu X. Sentiment analysis by capsule. In: the web conference. 2018, 1165–1174.
]Search in Google Scholar
[[2] Hong W, Li M. A review: text sentiment analysis methods. Computer Engineering & Science, 2019, 41(4): 750–757.
]Search in Google Scholar
[[3] Pang B, Lee L. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2008, 2(1–2): 1–135.
]Search in Google Scholar
[[4] Liu Zhiming, Liu Lu. Empirical study of sentiment classification for Chinese microblog based on machine learning. Computer Engineering and Applications, 2012, 18(1): 1–4.
]Search in Google Scholar
[[5] Li TT, Ji DH. Sentiment analysis of micro-blog based on SVM and CRF using various combinations of features. Application Research of Computers, 2015, 32(4): 978–981.
]Search in Google Scholar
[[6] Cao Yu, Wang Mingyang, He Huixin. Research on multi-emotion classification methods for microblog text based on the extended emotion dictionary. Journal of Intelligence, 2016, 35(10): 185–189.
]Search in Google Scholar
[[7] Du Chang-shun, Huang Lei. Sentiment analysis with piecewise convolution neural network. Computer Engineering and Science, 2017, 39(01): 173–179.
]Search in Google Scholar
[[8] Wang Y, Huang M, Zhu X, et al. Attention-based LSTM for aspect-level sentiment classification. EMNLP. 2016: 606–615.
]Search in Google Scholar
[[9] Cai Huiping, Wang Lidan, Duan Shukai. Sentiment classification model based on word embedding and CNN. Application Research of Computers, 2016, 33(10): 2902–2905, 2909.
]Search in Google Scholar
[[10] Mesnil G, Mikolov T, Ranzato M, et al. Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews. arXiv: Computation and Language, 2014.
]Search in Google Scholar
[[11] Li YD, Hao ZB, Lei H. Survey of convolutional neural network. Journal of Computer Applications, 2016, 36(9): 2508–2515, 2565.
]Search in Google Scholar
[[12] Denny Britz. Recurrent neural networks tutorial. September 17, 2015.
]Search in Google Scholar
[[13] Pennington J, Socher R, Manning C. GloVe: global vectors for word representation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014: 1532–1543.
]Search in Google Scholar
