灾害学2016，Vol.31Issue(2)：19-23,5.DOI:10.3969/j.issn.1000-811X.2016.02.005
基于中文短文本分类的社交媒体灾害事件检测系统研究
Sina Weibo Disaster Information Detection Based on Chinese Short Text Classification
摘要
Abstract
Weibo,a popular Chinese social media service,has received much attention recently.More and more people use Weibo as an information tool,especially when the disaster happens.We present a work to develop a disasters detector based on Sina Weibo messages.This system captures public messages from Sina Weibo platform at first,and then processes messages filter and text classification to determine if messages correspond to people ex-periencing a disaster.We also offer an interface for users to view the processed messages.Our long term aim is to develop a general alert stem for various disaster event types in China,and it would be very useful for the disaster rescue.关键词
社交媒体/新浪微博/灾害信息/灾害检测Key words
social media/Sina Weibo/disaster information/disaster detection分类
资源环境引用本文复制引用
白华,林勋国..基于中文短文本分类的社交媒体灾害事件检测系统研究[J].灾害学,2016,31(2):19-23,5.基金项目
国家自然科学基金资助项目（71372091），国家留学基金委公派联合培养博士生资助项目 （）
