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Object Recognition of Network Comments Based on Conditional Random Fields |
Lin Chen1,2, Wang Lancheng1 |
1. Department of Military Information Management, Shanghai Branch of Nanjing Institute of Politics, Shanghai 200433, China; 2. Post-doctoral Mobile Stations, Shanghai Branch of Nanjing Institute of Politics, Shanghai 200433, China |
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Abstract Combined with the characteristic of comment object, this paper gives an identification method based on conditional random fields. Without domain knowledge, the new method introduces characteristics word and clues word, then transforms comment object recognition problem into solving maximum probability sequence. The experimental results show that this method can completely, effectively extract comment objects from network comments.
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Received: 13 April 2013
Published: 24 July 2013
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[1] Hu M, Liu B. Mining Opinion Features in Customer Reviews [C]. In: Proceedings of the 19th National Conference on Artificial Intelligence (AAAI’04), San Jose, California. AAAI Press, 2004: 755-760. [2] Popescu A, Etzioni O. Extracting Product Features and Opinions from Reviews [C]. In: Proceedings of the Joint Conference of Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMNLP-05), Vancouver,Canada. Stroudsburg: Association for Computational Linguistics, 2005: 339-346. [3] 刘鸿宇, 赵妍妍, 秦兵, 等. 评价对象抽取及其倾向性分析[J]. 中文信息学报, 2010, 24(1): 84-88.(Liu Hongyu, Zhao Yanyan, Qin Bing, et al. Comment Target Extraction and Sentiment Classification[J]. Journal of Chinese Information Processing, 2010, 24(1): 84-88.) [4] 徐叶强,朱艳辉,王文华, 等. 中文产品评论中评价对象的识别研究[J]. 计算机工程, 2012, 38(20):140-143. (Xu Yeqiang, Zhu Yanhui, Wang Wenhua, et al. Research on Recognition of Evaluation Object in Chinese Product Review[J]. Computer Engineering, 2012, 38(20):140-143.) [5] Yi J, Nasukawa T, Bunescu R, et al. Sentiment Analyzer: Extracting Sentiments about a Given Topic Using Natural Languages Processing Techniques [C]. In: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM’03), Melbourne, USA. Washington, D C: IEEE Computer Society, 2003:427-434. [6] 刘非凡, 赵军, 吕碧波, 等. 面向商务信息抽取的产品命名实体识别研究[J]. 中文信息学报, 2006, 20(1): 7-13.(Liu Feifan, Zhao Jun, Lv Bibo, et al. Study on Product Named Entity Recognition for Business Information Extraction[J]. Journal of Chinese Information Processing, 2006, 20(1): 7-13.) [7] Zhang S, Jia W J, Xia Y J, et al. Opinion Analysis of Product Reviews[C]. In: Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’09), Tianjin, China. Washington, D C: IEEE Computer Society, 2009:591-595. [8] 徐冰, 赵铁军, 王山雨, 等. 基于浅层句法特征的评价对象抽取研究[J]. 自动化学报, 2011, 37(10):1241-1247.(Xu Bing, Zhao Tiejun, Wang Shanyu, et al. Extraction of Opinion Targets Based on Shallow Parsing Features[J]. Aata Automatica Sinica, 2011, 37(10):1241-1247.) [9] Lafferty J D, McCallum A, Pereira F C N. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data[C]. In: Proceedings of the 18th International Conference on Machine Learning (ICML’01), Williamstown, Australia. San Francisco: Morgan Kaufmann Publishers Inc., 2001: 282-289. [10] 周俊生, 戴新宇, 尹存燕, 等. 基于层叠条件随机场模型的中文机构名自动识别[J]. 电子学报, 2006, 34(5):804-809.(Zhou Junsheng, Dai Xinyu, Yin Cunyan, et al. Automatic Recognition of Chinese Organization Name Based on Cascaded Conditional Random Fields[J]. Aata Electronica Sinica, 2006, 34(5):804-809.) [11] NLPIR汉语分词系统. NLPIR下载 [EB/OL].[2013-04-16]. http://ictclas.nlpir.org/downloads. (ICTCLAS 2013 Edition. NLPIR Download[EB/OL]. [2013-04-16]. http://ictclas.nlpir.org/downloads.) |
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