期刊文献+

智能信息系统中手机产品评论的情感倾向分析

Analysis on Sentiment Orientation of Mobile Phone Product Reviews in Intelligent Information System
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摘要 目前国内用户购买和使用大量不同手机产品。为帮助手机生产商识别用户评论的情感倾向、为其他潜在的手机用户提供手机产品购买建议,文中通过模块设计构建一个处理手机产品评论的智能信息系统,该系统用于挖掘和分析针对手机产品的评论信息。其中情感倾向分析是该系统的核心环节,因此文中研究并提出了一种基于条件随机场的针对手机产品的情感倾向识别方法,并通过采用多种实验手段寻找并验证该识别方法的有效性,从而完成对手机产品评论的高效、准确的自动识别。 Abstract: Nowadays, more kinds of mobile phone products are used by consumers in China. Use module design to build an intelligent in- formation system, which can help manufacturers recognize sentiment orientation of product reviews, and provide other consumers for sug- gestions on buying mobile phone products. This system has the function of mining and analyzing mobile phone product reviews, and the sentiment orientation is the key module of the system. Therefore, put forward a method based on conditional random fields to analyze sen- timent orientation of mobile phone product reviews. For accurate and efficient automatic recognition,many methods are adopted in the ex- periment and the efficiency of the method is verified.
出处 《计算机技术与发展》 2013年第12期22-25,29,共5页 Computer Technology and Development
基金 "国家级大学生创新创业训练计划"创新训练项目(201210248039 IPP5106) 国家自然科学基金资助项目(61272441)
关键词 手机产品 信息系统 条件随机场 情感倾向 mobile phone product information system conditional random fields sentiment orientation
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参考文献12

  • 1艾瑞咨询.2011-2012年中国智能手机市场研究报告[EB/OL] . 2012. http://www. iresearch. com. cn/Report/166B. ht-ml.
  • 2艾媒咨询.2012Q3中国智能手机市场季度监测报告[EB/OL]. 2012/http://share, iimedia. cn/repd/85.
  • 3Lafferty J D,McCallum A,Pereira F C N. Conditional randomfields: Probabilistic models for segmenting and labeling se-quence data [ C ] //Proceedings of the 18th international con-ference on machine learning. Williamstown,MA, USA : MorganKaufmann Publishers Inc.,2001:282-289.
  • 4Rabiner L R. A tutorial on hidden Markov models and selectedapplications in speech recognition [ J ]. Proceedings of theIEEE, 1989,77(2) :257-286.
  • 5McCallum A, Freitag D, Pereira F C N. Maximum entropyMarkov models for information extraction and segmentation[C ] //Proceedings of the 17th international conference on ma-chine learning. Stanford University, Stanford,CA,USA : Mor-gan Kaufmann Publishers Inc. ,2000 :591-598.
  • 6Levow G A. Automatic prosodic labeling with conditional ran-dom fields and rich acoustic features [ C ] //Proceedings of thethird international joint conference on natural language pro-cessing. Hyderabad,India: [s. n. ] ,2008:217-224.
  • 7Kudo T. CRF + + 0. 57: Yet another erf toolkit [ EB/OL].2012. http://crfpp. googlecode. com/svn/trunk/doc/index,html.
  • 8Tseng H,Chang Pichuan,Andrew G,et al. A conditional ran-dom field word segmenter for sighan bakeoff 2005 [ C ]//Pro-ceedings of the fourth SIGHAN workshop on Chinese languageprocessing. Jeju Island, Korea : [ s. n. ] ,2005 : 168-171.
  • 9SIGHAN bakeoff 2005. Second international Chinese wordsegmentation bakeoff result summary[ EB/OL] . 2005. http://www. sighan. org/bakeof?2005/data/results, php. htm.
  • 10滕少华.基于CRFs的中文分词和短文本分类技术[D].北京:清华大学,2009.

二级参考文献18

  • 1朱嫣岚,闵锦,周雅倩,黄萱菁,吴立德.基于HowNet的词汇语义倾向计算[J].中文信息学报,2006,20(1):14-20. 被引量:326
  • 2POPESCU A M,YATES A,ETZIONI Q.Class extraction from the World Wide Web[C] //Proc of AAAI-04 Workshop on Adaptive Text Extraction and Mining.San Jose,CA:American Association for Artificial Intelligence,2004:1-6.
  • 3HU Ming-qing,LIU Bing.Mining and summarizing customer reviews[C] //Proc of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York:ACM Press,2004:168-177.
  • 4LIU Bing,HU Ming-qing,CHENG Jun-sheng.Opinion observer:analyzing and comparing opinions on the Web[C] //Proc of the 14th International Conference on World Wide Web.New York:ACM Press,2005:342-351.
  • 5KOBAYASHI N,INUI K,MATSUMOTO Y,et al.Collecting evalua-tive expressions for opinion extraction[C] //Proc of the 1st International Joint Conference on Natural Language Processing.Berlin:Springer,2005:596-605.
  • 6POPESCU A M,ETZIONI Q.Extracting product features and opi-nions from reviews[C] //Proc of HLT-EMNLP.Morristown,NJ:Association for Compatational Linguistics,2005:339-346.
  • 7LIU Jian,WU Geng-feng,YAO Jian-xin.Opinion searching in multi-product reviews[C] //Proc of the 6th IEEE International Conference on Computer and Information Technology.Washington DC:IEEE Computer Society,2006:25-30.
  • 8SHI Bin,CHANG Kui-yu.Mining Chinese reviews[C] //Proc of the 6th IEEE International Conference on Data Mining.Washington DC:IEEE Computer Society,2006:585-589.
  • 9LITVIN S W,GOLDSMITH R E,PAN Bing.Electronic word-of-mouth in hospitality and tourism management[J].Tourism Management,2008,29(3):458-468.
  • 10PANG B O,LEE L,VAITHYANATHAN S.Thumbs up? sentiment classification using machine learning techniques[C] //Proc of Conference on Empirical Methods in Natural Language Processing.Morristown,NJ:Assuciation for Computational Linguistics,2002:79-86.

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