摘要
针对海量短信文本数据中大量词语共现的特点,提出一种基于上下文的短信文本分类方法。利用词语的上下文关系,定义词语相似度和基于上下文的词语权值,科学地表达词语在该类别中的语义表示,以提高短信文本分类效率。实验结果表明,与传统的简单向量距离分类法相比,该方法的分类效果较优。
According to the characteristics of a lot of words co-occurrence in mass data of Short Messaging Service（SMS）,a context-based SMS text classification method based on the context term is defined word similarity relations,and defines the term weights using context,which expresses more scientific terms in this category in the semantic representation and thus further improves classification efficiency of SMS text.Experimental results show that the classification performance of method than the traditional simple vector distance classification is significantly improved.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第10期41-43,共3页
Computer Engineering
基金
淮安科技计划基金资助项目(HAG09061)
淮阴工学院基金资助重点项目(HGA0907)
关键词
短信文本
词语共现
上下文
词语相似度
短信文本分类
Short Messaging Service（SMS） text
word co-occurrence
context
word similarity
SMS text classification
