基于新浪微博数据的赣州市居民夜间情感时空变化研究

Study on Spatio-Temporal Variation of Residents’ Night Emotions of Ganzhou Based on Sina Micro-Blog Data

摘要: 在我国发展的过程中，越来越注重居民的幸福感，随着“大数据”时代的到来，研究数据从以前的调查问卷变成了线上数据。本文以居民为研究对象，以居民情感为着力点，在新浪微博的数据支持下，系统全面地探索居民夜间情感的时空变化规律。首先通过使用网络爬虫采集居民微博数据，再构建微博文本情感分析模型将微博文本转化为情感倾向，最后使用ArcGis软件对居民夜间情感变化进行可视化，并结合微博文本词频，探索情感的变化规律和特征。研究表明居民在夜间的情感变化主要受饥饿程度、疲劳程度、睡眠等因素影响。

Abstract: In the process of China’s development, more and more attention has been paid to residents’ happiness. With the advent of the “Big Data” era, research data has changed from previous questionnaires to online data. Taking the residents as the research object and the residents’ emotions as the focal point, this paper systematically explores the spatial and temporal variation of residents’ night emotions with the support of the Sina micro-blog’s data. Firstly, using the web crawler collects residents’ micro-blog data, and then the microblog text sentiment analysis model is constructed to convert the microblog text into the emotion tendency. Finally, ArcGis software is used to visualize the residents’ emotions in temporal, spatial and spatio-temporal three angles, and explore the changing rules and characteristics of residents’ night emotions by combining the word frequency of micro-blog’s text. Studies have shown that residents’ emotional changes at night are mainly affected by factors such as hunger, fatigue, and sleep.