[1] Hu M,Liu B.Mining opinion features in customer reviews[A].Proceedings of the N ineteenth National Conference on Artificial Intelligence[C].AAAI,2004.4(4):755-760.
[2] Popescu A M,Nguyen B,Etzioni O.OPINE:Extracting product features and opinions fr om reviews[A].Proceedings of HLT/EMNLP on Interactive Demonstrations[C].ACL, 2005.32-33.
[3] Zhang L,Liu B,Lim S H,et al.Extracting and ranking product features in opinion documents[A].Proceedings of the 23rd International Conference on Computational Linguistics:Posters[C].ACL,2010.1462-1470.
[4] Liu K,Xu L,Zhao J.Opinion target extraction using word-based translation model[A].Proceedings of the 2012 Joint Conference on Empirical Methods in Natural L anguage Processing and Computational Natural Language Learning[C].ACL,2012.1346-1356.
[5] Xu L,Liu K,Lai S,et al.Mining opinion words and opinion targets in atwo-stage framework[A].Proceedings of the 51st Annual Meeting of the Association for Com putational Linguistics[C].ACL,2013.1764-1773.
[6] Xu L,Liu K,Lai S,et al.Walk and learn:atwo-stage approach for opinion words an dopinion targets co-extraction[A].Proceedings of the 22nd International Conference on World Wide Web Companion[C].International World Wide Web Conferences Steering Committee,2013.95-96.
[7] Liu K,Xu L,Zhao J.Extracting opinion targets and opinion words from online reviews with graph co-ranking[A].Proceedings of the 52nd Annual Meeting of the Ass ociation for Computational Linguistics[C].ACL,2014.314-324.
[8] Liu K,Xu L,Zhao J.Co-extracting opinion targets and opinion words from online reviews based on the word alignment model[J].IEEE Transactions on Knowledge and Data Engineering,2015,27(3):636-650.
[9] Wilson T,Wiebe J,Hoffmann P.Recognizing contextual polarity in phrase-level sen timent analysis[A].Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing[C].Vancouver,British Colu mbia,Canada:ACL,2005.347-354.
[10] Wilson T,Wiebe J,Hoffmann P.Recognizing contextual polarity:An exploration of fe atures for phrase-level sentiment analysis[J].Computational Linguistics,2009.35(3):399-433.
[11] Jin W,Ho H H,Srihari R K.Opinion miner:a novel machine learning system for web opinion mining and extraction[A].Proceedings of KDD'2009[C].KDD,2009.1195-1204.
[12] Zhao Y,Qin B,Liu T.Collocation polarity disambiguation using web-based pseudo contexts[A].Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning[C].ACL,2012.160-170.
[13] 吕品,钟珞,唐琨皓.在线产品评论用户满意度综合评价研究[J].电子学报,2014,42(4):740-746. Lv P,Zhong L,Tang K H.Customer satisfaction degree evaluation of online product review[J].Acta Electronica Sinica,2014,42(4):740-746.(in Chinese)
[14] 庄丽.评论性信息挖掘研究[D].北京:清华大学,2007. Zhuang L.Studies on review mining[D].Beijing:Tsinghua University,2007.
[15] 施寒潇.细粒度情感分析研究[D].苏州:苏州大学,2013. Shi H X.Research on fine-graind sentiment analyis[D].Suzhou:Soochow University,2013.
[16] Lafferty JD,McCallum A,Pereira FCN.Conditional random fields:probabilistic models for segmenting and labeling sequence data[A].Proceedings of ICML'2001[C]. ICML,2001.282-289.
[17] 黄昌宁,赵海.中文分词十年回顾[J].中文信息学报,2007,21(3):8-19.
[18] 刘挺,车万翔,李正华.语言技术平台[J].中文信息学报,2012,25(6):53-62.
[19] Yi J,Nasukawa T,Bunescu R,Niblack W.Sentiment analyzer:Extracting sentiments about agiven topic using natural language processing techniques[A].Third IEEE In ternational Conference on Data Mining (ICDM 2003)[C].IEEE,2003.427-434.
[20] Hu M,Liu B.Mining and summarizing customer reviews[A].Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining[C].ACM,2004.168-177.
[21] Jakob N,Gurevych I.Extracting opinion targets in a single-and cross-domain set ting with conditional random fields[A].Proceedings of the 2010 Conference on E mpirical Methods in Natural Language Processing.Association for Computational Linguistics[C].ACL,2010.1035-1045.
[22] 刘全超,黄河燕,冯冲.基于多特征微博话题情感倾向性判定算法研究[J].中文信息学报,2014,28(4):123-131.
[23] Popescu A M,Etzioni O.Extracting product features and opinions from reviews[A].Natural Language Processing and Text Mining[M].London:Springer,2007.9-28.
[24] 姚天昉,聂青阳,李建超,等.一个用于汉语汽车评论的意见挖掘系统[A].中文信息处理前沿进展-中国中文信息学会二十五周年学术会议论文集[C].北京:清华大学出版社,2006.260-281. |