Semantic Similarity Calculation of Short Texts Based on Language Network and Word Semantic Information

摘要：

　　We first analyzes the deviation when current similarity calculation methods for texts are applied to short texts,and proposes a similarity calculation method for short texts based on language network and word semantic information.Firstly,models the short texts as language network according to the complex-network characteristic of human being’s language.Then analyzes the comprehensive eigenvalue of the words in the language network and the word similarity between different texts to obtain the word semantic.Calculate the similarity between short texts combining language network and word semantic.Finally the effectiveness of proposed algorithm is verified through clustering algorithm experiments.

关键词： language network text clustering short texts similarity word similarity

作者: Zhijian Zhan Feng Lin Xiaoping Yang

作者单位: School of Information,Renmin University of China,Beijing 100872 School of Opto-electronic and communication Engineering,Xiamen

会议类型: 国际会议

会议名称: ACA,Advanced Computer Architecture(2014年全国计算机体系结构学术会议)

会议地点: 沈阳

会议语种:英文

页码: 215-228

在线出版日期: 2014-08-23（万方平台首次上网日期，不代表论文的发表时间）