基于语义分析在计算机技术文本分类中的应用研究  

Application of semantic analysis in text classification of computer technology

作　　者：杜隆胤[1] 

机构地区：[1]贵阳学院数学与信息科学学院,贵州贵阳550003

出　　处：《现代电子技术》2016年第5期147-148,151,共3页Modern Electronics Technique

基　　金：贵州省联合基金项目:基于复杂网络社团结构的分类算法研究(黔科合J字LKG[2013]44号)

摘　　要：基于GPRS的移动互联网分布式文本分类系统没有足够的CPU和RAM资源可以调用,所以难以使用传统的神经网络系统进行文本分类,这与当前的互联网大数据需求存在一定的矛盾。在此使用占用CPU和RAM资源较少的语义分析算法,采用局端与用户端联合运算的方式,使用比较结果字符串替代明文传输的方式减少GPRS链路占用,研究了基于语义分析的计算机文本分类技术。The distributed text classification system of mobile Internet based on GPRS hasn＇t enough CPU and RAM re- sources to call, so it is difficult to use the traditional neural network system for text classification, which is in conflict with the demands of current Internet big data. The computer text classification technology based on semantic analysis is studied, in which the semantic analysis algorithm with few occupation of CPU and RAM resources is adopted, the way of joint operation between local side and user side is used, and the character string of comparative results replaces plaintext transmission to reduce the GPRS link occupation.

关 键 词：语义分析 文本分类 移动互联网 计算机智能 

分 类 号：TN919-34[电子电信—通信与信息系统]