| ［1］ |
iResearch.White paper on marketing strategy of China KOL in 2019 ［EB/OL］. ［2020-02-24］.http://report.iresearch.cn/report_pdf.aspx?id=3346.(in Chinese)
|
| ［2］ |
Chen Y,Gao Q,Rau P L P.Watching a movie alone yet together:Understanding reasons for watching danmaku videos［J］.International Journal of Human-Computer Interaction,2017,33(7-9):731-743.
|
| ［3］ |
Liu L L,Suh A,Wagner C.Watching online videos interactively:The impact of media capabilities in Chinese danmaku video sites［J］.Chinese Journal of Communication,2016,9(3):1-21.
|
| ［4］ |
Zhou J L,Zhou J,Ding Y,et al.The magic of danmaku:A social interaction perspective of gift sending on live streaming platforms［J］.Electronic Commerce Research and Applications, 2019, 34:100815.
|
| ［5］ |
Bai Q,Hu Q,Fang F,et al.Topic detection with danmaku:A time-sync joint NMF approach［C］∥Proc of the 29th International Conference on Database & Expert Systems Applications,2018:428-435.
|
| ［6］ |
Zheng Yang-yang, Xu Jian, Xiao Zhuo. Utilization of sentiment analysis and visualization in online video bullet-screen comments［J］.New Technology of Library and Information Service,2015,31(11):82-90.（in Chinese）
|
| ［7］ |
Deng Yang, Zhang Chen-xi, Li Jiang-feng. Video shot re- commendation model based on emotion analysis using time-sync comments［J］. Journal of Computer Applications, 2017, 37(4):1065-1070. （in Chinese）
|
| ［8］ |
Blei D M.Probabilistic topic models［J］.Communications of the ACM,2012,55(4):77-84.
|
| ［9］ |
Blei D M,Ng A Y,Jordan M I.Latent Dirichlet allocation［J］.The Journal of Machine Learning Research,2003,3:993-1022.
|
| ［10］ |
Blei D M,Lafferty J D.Dynamic topic models［C］∥Proc of the 23rd International Conference on Machine Learning,2006:113-120.
|
| ［11］ |
Medhat W,Hasan A,Korashy H.Sentiment analysis algorithms and applications:A survey［J］.Ain Shams Engineering Journal,2014,5(4):1093-1113.
|
| ［12］ |
Turney P D.Thumbs up or thumbs down?:Semantic orientation applied to unsupervised classification of reviews［C］∥Proc of the 40th Annual Meeting of the Association for Computational Linguistics,2002:417-424.
|
| ［13］ |
Hu M,Liu B.Mining and summarizing customer reviews［C］∥Proc of the 10th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2004:168-177.
|
| ［14］ |
Ding X,Liu B,Yu P S.A holistic lexicon-based approach to opinion mining［C］∥Proc of the 2008 International Confe- rence on Web Search & Data Mining,2008:231-240.
|
| ［15］ |
Pang B,Lee L,Vaithyanathan S.Thumbs up? Sentiment classification using machine learning techniques［C］∥Proc of the Conference on Empirical Methods in Natural Language Processing,2002:79-86.
|
| ［16］ |
Dave K,Lawrence S,Pennock D M.Mining the peanut gallery:Opinion extraction and semantic classification of pro- duct review［C］∥Proc of the 12th International World Wide Web Conference, 2003:519-528.
|
| ［17］ |
Pang B,Le L.A sentimental education:Sentiment analysis using subjectivity summarization based on minimum cuts［C］∥Proc of the 42nd Annual Meeting of the Association for Computational Linguistics,2004:271-278.
|
| ［18］ |
Saleh M R, Martín-Valdivia M T,Montejo-Ráez A,et al. Experiments with SVM to classify opinions in different domains［J］.Expert Systems with Applications,2011,38(12):14799-14804.
|
| ［19］ |
Tang D,Qin B,Liu T.Deep learning for sentiment analysis:Successful approaches and future challenges［J］.Wiley Interdisciplinary Reviews:Data Mining and Knowledge Discovery,2015,5(6):292-303.
|
| ［20］ |
Glorot X,Bordes A,Bengio Y.Domain adaptation for large-scale sentiment classification:A deep learning approach［C］∥Proc of the 28th International Conference on Machine Learning,2011:513-520.
|
| ［21］ |
Socher R,Huval B,Manning C D,et al.Semantic compositionality through recursive matrix-vector spaces［C］∥Proc of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning,2012:1201-1211.
|
| ［22］ |
Socher R,Pennington J,Huang E H,et al.Semi-supervised recursive autoencoders for predicting sentiment distributions［C］∥Proc of the Conference on Empirical Methods in Natural Language Processing,2011:151-161.
|
| ［23］ |
Socher R,Perelygin A,Wu J Y,et al.Recursive deep models for semantic compositionality over a sentiment treebank［C］∥Proc of the 2013 Conference on Empirical Methods in Natural Language Processing,2013:1631-1642.
|
| ［24］ |
Kim Y.Convolutional neural networks for sentence classification［J］.arXiv:1408.5882,2014.
|
|
附中文参考文献：
|
| ［1］ |
艾瑞咨询.2019年中国KOL营销策略白皮书［EB/OL］. ［2020-02-24］.http://report.iresearch.cn/report_pdf.aspx?id=3346.
|
| ［6］ |
郑飏飏,徐健,肖卓.情感分析及可视化方法在网络视频弹幕数据分析中的应用［J］.现代图书情报技术,2015,31(11):82-90.
|
| ［7］ |
邓扬,张晨曦,李江峰.基于弹幕情感分析的视频片段推荐模型［J］.计算机应用,2017,37(4):1065-1070.
|
