计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 387-389.doi: 10.11896/j.issn.1002-137X.2016.6A.092
黄仁,张卫
HUANG Ren and ZHANG Wei
摘要： 在电子商务蓬勃发展的网络环境下,产品的评论数据已成为企业提高商品质量和提升服务的重要数据源。这些评论中包含用户对产品各个方面的情感倾向,对其进行情感分析可以帮助商家了解产品的优缺点,也能为潜在消费者的购买决策提供数据支持。提出了基于组合神经网络的商品属性聚类及基于word2vec的商品评论情感分析新方法,通过word2vec计算语义相似度,建立情感词典,用构建的情感词典对测试文本进行情感分类。实验验证了该方法在互联网商品评论中的有效性和准确性。
| [1] 张紫琼,叶强,李一军.互联网商品评论情感分析研究综述[J].管理科学,2010,13(6):84-96 [2] 钟将,杨思源,孙启干.基于文本分类的商品评价情感分析研究[J].计算机应用,2014,34(8):2317-2321 [3] Kim S M,Hovy E.Determining the sentiment of opinions[C]∥Proceedings of the 20th international conference on Computational Linguistics.Association for Computational Linguistics,2004:1367-1373 [4] Fellbaum C.WordNet:An Electronic Lexical Database[M].Bradford Book,1998 [5] Esuli A,Sebastiani F.Sentiwordnet:A publicly available lexical resource for opinion mining[C]∥Proceedings of LREC.2006(6):417-422 [6] Yi J,Nasukawa T,Bunescu R,et al.Sentiment analyzer:Extracting sentiments about a given topic using natural language processing techniques[C]∥Third IEEE International Confe-rence on Data Mining,2003(ICDM 2003).IEEE,2003:427-434 [7] 唐小丽,白宇,张桂平,等.一种面向聚类的文本建模方法[J].山西大学学报(自然科学版),2014,37(4):595-600 [8] Baumgarten M,Mulvenna M D,Rooney N,et al.Keyword-Based Sentiment Mining using Twitter[J].International Journal of Ambient Computing and Intelligence (IJACI),2013,5(2):56-69 [9] Turney P D,Littman M L.Measuring praise and criticism:Inference of Semantic Orientation from Association[C]∥Proceedings of ACM Transactions on Information Systems,2003.New York,USA,2003:315-346 [10] Yuan Cheng-xiang,Zhuang Yi,Li Hao-hong.Semantic BasedChinese Sentence Sentiment Analysis[C]∥2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery.IEEE,2011:2099-2103 |
| No related articles found! |
|
||
首页