[1] 赵妍研,秦兵,刘挺.文本情感分析[J].软件学报,2010,21(8):1834.
[2] LIU B,ZHANG L.A survey of opinion mining and sentiment analysis[M]//AGGARWAL C C,ZHAI C X.Mining text data.New York:Springer,2012:415-463.
[3] 周咏梅,杨佳能,阳爱民.面向文本情感分析的中文情感词典构建方法[J].山东大学学报(工学版),2013,43(6):27.
[4] PANG B,LEE L,VAITHYANATHAN S.Thumbs up sentiment classification using machine learning techniques[C]//Proceedings of the Conference on Empirical Methods in Natural Language Processing(EMNLP).Stroudsburg:Association for Computational Linguistics,2002:79.
[5] 姜杰.社交媒体文本情感分析[D].南京:南京理工大学,2017.
[6] 王利利.基于深度学习的中文文本情感分类研究及应用[D].徐州:中国矿业大学,2019.
[7] SOCHER R,PENNINGTON J,HUANG E H,et al.Semi-supervised recursive autoencoders for predicting sentiment distributions[C]//Proceedings of the Conference on Empirical Methods in Natural Language Processing.Stroudsburg:Association for Computational Linguistics,2011:151.
[8]
[9] MIKOLOV T,CHEN K,CORRADO G S,et al.Efficient estimation of word representations in vector space[C]//Proceedings of the 2013 International Conference on Learning Representations.[S.l.:s.n.],2013.
[10] DEVLIN J,CHANG M W,LEE K,et al.BERT:Pre-training of deep bidirectional transformers for language understanding[C]//Proceedings of the North American Chapter of the Association for Computational Linguistics.Stroudsburg:Association for Computational Linguistics,2019:4171.
[11] ELMAN J L.Finding structure in time[J].Cognitive Science,1990,14(2):179.
[12] CUI Y,CHE W,LIU T,et al.Pre-training with whole word masking for Chinese BERT[J].(2019-10-29)[2020-05-31] https://arxiv.org/pdf/1906.08101.pdf.