情报杂志Issue(10)：1-6,13,7.DOI:10.3969/j.issn.1002-1965.2014.10.001
基于大数据技术的网络舆情文本挖掘研究
On Text Mining of Network Public Opinion Based on Big Data Technology
摘要
Abstract
Through analyzing the big data and the network public opinion data of their similar characteristics, based on big data ideology, text mining module of network public opinion is constructed. Then on this basis an early warning model is built, RDB and HBase are inte-grated to make it adaptive to the whole process of the model from data collection to analysis and inquiry. The core technology of big data MapReduce is extended. The improved MapReduce graphs through the early warning system for text feature vector extraction of the data processing module and public opinion index of matrix-vector product operation. Simulation experiment proves the model has a certain ac-curacy and good timeliness.关键词
大数据/MapReduce/分布式数据库/网络舆情/舆情指数Key words
big data/MapReduce/HBase network public/opinion public/opinion index分类
信息技术与安全科学引用本文复制引用
李金海,何有世,熊强..基于大数据技术的网络舆情文本挖掘研究[J].情报杂志,2014,(10):1-6,13,7.基金项目
国家社会科学基金资助项目“我国电子政务系统外包开发模式风险控制研究”(编号:10BGL097) （编号:10BGL097）
江苏省普通高校研究生科研创新计划项目“大数据环境下融合情感分析的目标在线评论挖掘研究”(编号:KYzz 0287)。 （编号:KYzz 0287）
