A NEW ALGORITHM OF EXTRACTING MAXIMAL-LENGTH EVALUATION PHRASE AND COLLOCATION OF EVALUATION

摘要：

　　We propose an algorithm of automatically identifying maximal-length evaluation (MEP) based on statistics and rules.The principle of the algorithm is that transform the problem of evaluation phrase recognition into a sequence tagging problem,use conditional random fields model for recognizing simple structure phrase of evaluation,and then automatically identify MEP with complex structure based on the establishment and application of the rule base.The testing precision and recall rate reached 72.38%.Based on the work above,we proposed a new algorithm of automatically extracting collocation of evaluation based on rules and make the automatic extraction of evaluation object and the MEP become reality.Experiment was conducted at Netease car portal for test,and got a higher accuracy rate.

关键词： Maximal-length evaluation phrase Conditional random fields Sentiment evaluation unit Collocation of evaluation Sentiment analysis

作者: Quanchao Liu Heyan Huang Changzhi Wang Chong Feng

作者单位: Beijing Engineering Applications Research Center of High Volume Language Information Processing and Cloud Computing,Beijing Institute of Technology,Beijing,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 2020-2027

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）