[1]杜嘉忠,徐健,刘颖.网络商品评论的特征-情感词本体构建与情感分析方法研究[J].现代图书情报技术,2014,30(5):74-82.
[2]王科,夏睿.情感词典自动构建方法综述[J].自动化学报,2016,42(4):495-511.
[3]谢松县,刘博,王挺.应用语义关系自动构建情感词典[J].国防科技大学学报,2014(3):111-115.
[4]KIM S M,HOVY E.Determining the sentiment of opinions[C]//Proceedings of the 20th International Conference on Computational Linguistics.Geneva,Switzerland:Association for Computational Linguistics,2004:1367-1373.
[5]HASSAN A,RADEV D.Identifying text polarity using random walks[C]//Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.Uppsala,Sweden:Association for Computational Linguistics,2010:395-403.
[6]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):27-33.
[7]BACCIANELLA S,ESULI A,SEBASTIANI F.SentiWordNet 3.0:an enhanced lexical resource for sentiment analysis and opinion mining[C]//Proceedings of International Conference on Language Resources and Evaluation.Valletta,Malta:European
Languages Resources Association,2010:83-90.
[8]杨阳,刘龙飞,魏现辉,等.基于词向量的情感新词发现方法[J].山东大学学报(理学版),2014,49(11):51-58.
[9]杨小平,张中夏,王良,等.基于Word2Vec的情感词典自动构建与优化[J].计算机科学,2015,44(1):42-47.
[10]StanfordParser[EB/OL].[2016-11-21].https://nlp.stanford.edu/software/lex-parser.shtml.
[11]张乃洲,曹薇,李石君.一种基于结点密度分割和标签传播的Web页面挖掘方法[J].计算机学报,2015,38(2):349-364.
[12]马千里,张俊浩.一种局部强化的多标签传播社区发现算法[J].计算机工程,2014,40(6):171-174.
[13]刘锦文,许静,张利萍,等.基于标签传播和主动学习的人物社会关系抽取[J].计算机工程,2017,43(2):234-240.
[14]李寿山,李逸薇,黄居仁,等.基于双语信息和标签传播算法的中文情感词典构建方法[J].中文信息学报,2013,27(6):75-81.
[15]MCAULEY J,TARGETT C,SHI Q,et al.Image-based recommendations on styles and substitutes[C]//Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,USA:ACM
Press,2015:43-52.
[16]MIKOLOV T,CHEN K,CORRADO G,et al.Efficient estimation of word representations in vector space[C]//Proceedings of the International Conference on Learning Representations.Scottsdale,Arizona,USA:ACM Press,2013:1-12.
[17]NEVIAROUSKAYA A,PRENDINGER H,ISHIZUKA M.SentiFul:a lexicon for sentiment analysis[J].IEEE Transactions on Affective Computing,2011,2(1):22-36.
|