计算机科学 ›› 2015, Vol. 42 ›› Issue (5): 98-105.doi: 10.11896/j.issn.1002-137X.2015.05.020
程显毅,刘 颖
CHENG Xian-yi and LIU Ying
摘要: 针对观点句的特点提出了适合观点句识别的特征抽取规则。在此基础上,融合图论中最小割原理和机器学习分类方法,引入知识图的概念,并提出了基于知识图的观点句识别算法。以公开评测语料、自建语料和开放语料进行了相关实验,结果表明:基于知识图的观点句识别算法的分类性能和稳定性有明显优势。
[1] 孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,0(1):146-163 [2] Seki Y,et al.Overview of multilingual opinion analysis task at NTCIR-7[C]∥Proeeedings of NTCIR-7 Workshop Meeting.Tokyo,Japan,2008:185-203 [3] 王昕.多粒度融合的汉语句子主观性和情感分类方法研究[D].哈尔滨:黑龙江大学,2011 [4] Riloff E,Wiebe J,Phillips W.Exploiting subjectivity classification to improve information extraction[C]∥Proceedings of AAAI’05.2005:1106-1111 [5] Wiebe J,Mihaleea R.Word sense and subjectivity[C]∥Procee-dings of ACL/COLING’06.Sydney,Australia,2006:1065-1072 [6] Mihalcea R,Banea C,Wiebe J.Learning Multilingual Subjective Language via Cross-Lingual Projections[C]∥Proceedings of the Association for Computational Linguistics (ACL2007).Prague,June 2007:1013-1019 [7] Jindal N,Liu Bing.Identifying Comparative Sentences in Text documents[C]∥Proceedings of SIGIR’06.Seattle,Washington,USA,2006:244-251 [8] Yu Hong,Hatzivassiloglou V.Towards answering opinion questions:Separating facts from opinions and identifying the polarity of opinion sentences[C]∥Proceedings of EMNLP’03.2003:129-136 [9] Pang Bo,Lee L.A Sentimental education:sentiment analysisusing subjectivity summariza tion based on minimum cuts[C]∥Proceedings of ACL’04.Bareelona,SPain,2004:271-278 [10] 叶强,张紫琼,罗振雄.面向互联网评论情感分析的中文主观性自动判别方法研究[J].系统信息学报,2007,1(1):79-91 [11] Jijkoun V,de Rjike M,Wouter W.Generating focused topic-specific Sentim ent lexicons[C]∥Proceedings of ACL2010.2010:585-594 [12] Zhao W X,Jiang Jing,et al.Jointly modeling aspects and opi-nions with aMaxEnt-LDA hybrid[C]∥Proceedings of EMNLP2010.2010:56-65 [13] 中国计算机协会.中文微博情感分析评测结果[EB/OL].http://tcci.ccf.org.cn/ conference/2012/ pages/page04_ evares.html |
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