面向微博的灾难供需分析研究  

Microblog-Oriented Research on Disaster Supply and Demand

作　　者：黑龙[1] 孙育华[1] 黄成哲[1] 吕松涛[1] 赵峰[1] 吕瑞[1] 高佳明 赵金梅[3] HEI Long;SUN Yu-hua;HUANG Cheng-zhe;LV Song-tao;ZHAO Feng;LV Rui;GAO Jia-ming;ZHAO Jin-mei(Heilongjiang Institute of Technology,Harbin 150050,China;Harbin Engineering University,Harbin 150001,China;Harbin University of Commerce,Harbin 150028,China)

机构地区：[1]黑龙江工程学院,哈尔滨150050 [2]哈尔滨工程大学,哈尔滨150001 [3]哈尔滨商业大学,哈尔滨150028

出　　处：《价值工程》2020年第2期224-225,共2页Value Engineering

基　　金：黑龙江省哲学社会科学规划项目，项目编号：16TQB03;黑龙江省教育厅科学技术项目，项目编号：12531537;黑龙江省自然科学基金面上项目，项目编号：F2018029

摘　　要：随着移动互联网的蓬勃发展,以微博等为代表的网络媒体已经成为人们生活中不可缺少的重要组成部分。在灾难发生时,微博中包含了大量有关灾难的实时信息。对于救灾工作而言,信息的时效性最为重要,如何快速地掌握灾难信息以及物资的供给信息是一个难题。微博为灾难时供需分析提供了重要的参考价值。本文以此为出发点,应用人工智能技术,识别灾难发生时与供需相关的微博,并对供需关系进行了匹配。With the rapid development of mobile Internet,the Internet media represented by microblog has become an indispensable part of people’s life.When disaster happens,microblog contains a lot of real-time information about disaster.For disaster relief work,the timeliness of information is the most important,how to quickly grasp disaster information and material supply information is a problem.Microblog provides an important reference value for the analysis of supply and demand in disaster.Based on this,this paper uses artificial intelligence technology to identify microblogs related to supply and demand when disasters happen,and matches the supply and demand relationship.

关 键 词：微博 灾难信息 需求微博 供给微博 供需匹配 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]