一种基于微博语义的天气情感地图设计

An emotion-weather map design based on micro-blog semantics

天气情感地图是一种表达情感相关的专题地图。本文提出了一种基于微博语义的天气情感地图设计方法,基于程序获取了合肥市区2016年6月20日至2016年7月10日暴雨期间带有地理位置的新浪微博数据,通过数据清洗及标准化处理,利用情感词库,结合人工判读,将暴雨天气过程相关情感微博文本数据分为8种情感类别,设计了8种情感着色,结合GIS格网技术与核密度分析方法,制成暴雨天气过程前、中后期情感地图,并分析了暴雨天气过程3个阶段中微博用户多维情感变化。该研究可为政府相关部门在突发性天气灾害过程中制定救助与决策提供参考。

Emotion-weather map is a special emotional map used to represent emotions of weather. This study proposes a emotionweather map design based on micro-blog semantic approach. Firstly,we obtain geotaged Sina Micro-blog data from June 20,2016 to July 10,2016 in Hefei city by using the program. Secondly,we perform the data cleaning and data standardization by combining emotional word library and the artificial interpretation,and we classify the related emotional micro-blog text data into eight categories and design eight kinds of emotional coloring.Finally,we carry out data analysis by combining GIS grid technology and nuclear density analysis before,during,and after three stages of rainstorm,including diverse dimensional emotional changes of micro-blog users in the three stages of rainstorm weather. This study can provide a reference for relevant government departments to make rescue and decisionmaking in the process of sudden weather disasters.