参考文献

ACTA Scientiarum Naturalium Universitatis Pekinensis - - Contents -

[1] Bai X, Chen F, Zhan S B. A study on sentiment computing and classification of Sina Weibo with Word2vec//ieee International Congress on Big Data. Anchorage, AK, 2014: 358–363 [2] Tse R T. Application of data mining in Sina Weibo — sentiment indicator to gauge tourist satisfaction in Macao. International Journal of Innovation, Management and Technology, 2016, 7(2): 80–85 [3] 周胜臣, 瞿文婷, 石英子, 等. 中文微博情感分析研究综述. 计算机应用与软件, 2013, 30(3): 161–164 [4] 周立柱, 贺宇凯, 王建勇. 情感分析研究综述. 计算机应用, 2008, 28(11): 2725–2728 [5] 涂海丽, 唐晓波. 基于在线评论的游客情感分析模型构建. 现代情报, 2016, 36(4): 70–77 [6] Medhat W, Hassan A, Korashy H. Sentiment analysis algorithms and applications: a survey. Ain Shams Engineering Journal, 2014, 5(4): 1093–1113 [7] 中国旅游研究院. 中国出境旅游发展年度报告2016. 北京: 旅游教育出版社, 2016: 3–4 [8] 张思豆, 李君轶. 基于微博大数据的游客情感与空气质量关系研究——以西安市为例. 陕西师范大学学报(自然科学版), 2016, 44(4): 102–107 [9] Girardin F, Calabrese F, Fiore F D, et al. Digital footprinting: uncovering tourists with user-generated content. IEEE Pervasive Computing, 2008, 7(4): 36–43 [10] Xiang Z Q, Zou Y X, Wang X. Sentiment analysis of Chinese micro-blog using vector space model // Signal and Information Processing Association Annual Summit and Conference (APSIPA). Siem Reap: IEEE, 2014: 1–5 [11] Pang B, Lee L, Vaithyanathan S. Thumbs up? Sentiment classification using machine learning techniques // ACL-02 Conference on Empirical Methods in Natural Language Processing. Philadelphia, 2002: 79– 86 [12] 曹宇, 王名扬, 贺惠新, 等. 情感词典扩充的微博文本多元情感分类研究. 情报杂志, 2016, 35(10): 185–189 [13] 张珊, 于留宝, 胡长军. 基于表情图片与情感词的中文微博情感分析. 计算机科学, 2012, 39(增刊 3): 146–148 [14] 刘宝芹, 牛耘, 张景. 基于统计数据的微博表情符分析及其在情绪分析中的应用. 计算机工程与科学, 2016, 38(3): 577–584 [15] 石晶, 李万龙. 基于 LDA 模型的主题词抽取方法.计算机工程, 2010, 36(19): 81–83 [16] Ye D S, Huang P J, Hong K D, et al. Chinese microblogs sentiment classification using maximum entropy // 53rd Annual Meeting of the Association for Computational Linguistics (ACL) and 7th International Joint Conference on Natural Language Processing. Beijing, 2015: 171–179 [17] Tong S, Koller D. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2002, 2(1): 45–66 [18] Liao X W, Li B Y, Xu L H. Overview of Topic-based Chinese Message Polarity Classification in SIGHAN // 53rd Annual Meeting of the Association for Computational Linguistics (ACL) and 7th International Joint Conference on Natural Language Processing. Beijing, 2015: 56–60

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