Sentiment in New York City: A High Resolution Spatial and Temporal View
Sentiment in New York City: A High Resolution Spatial and Temporal View
复制标题
纽约市的情绪：高分辨率时空视图
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Y. Bar
中科院分区：
文献类型：
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作者：
Karla Z. Bertrand;Maya Bialik;Kawandeep Virdee;A. Gros;Y. Bar
对研究人员和政策制定者来说，衡量公众情绪是一项关键任务。可用社交媒体数据的爆炸式增长使得分析比以往任何时候都更具时效性和地理特殊性。在本文中，我们分析了来自微博网站Twitter的数据，并生成了纽约市的情感地图。我们开发了一个分类器，专门针对140个字符的推特消息或推文进行调整，使用关键词，短语和表情符号来确定每条推文的情绪。这种方法与用户提供的地理标记相结合，使我们能够在极细粒度的空间和时间尺度上衡量公众情绪。我们发现，公共公园的公众情绪通常最高，交通枢纽的公众情绪最低，而墓地、医疗中心、监狱和污水处理厂等其他情绪强烈的地区的公众情绪则最低。随着时代广场的临近，人们的情绪逐渐改善。情绪的周期性模式在每天和每周都有波动：周末发布的积极推文比工作日更多，每天情绪在午夜左右达到峰值，在上午9点到中午之间达到最低点。
Measuring public sentiment is a key task for researchers and policymakers alike. The explosion of available social media data allows for a more time-sensitive and geographically specific analysis than ever before. In this paper we analyze data from the micro-blogging site Twitter and generate a sentiment map of New York City. We develop a classifier specifically tuned for 140-character Twitter messages, or tweets, using key words, phrases and emoticons to determine the mood of each tweet. This method, combined with geotagging provided by users, enables us to gauge public sentiment on extremely fine-grained spatial and temporal scales. We find that public mood is generally highest in public parks and lowest at transportation hubs, and locate other areas of strong sentiment such as cemeteries, medical centers, a jail, and a sewage facility. Sentiment progressively improves with proximity to Times Square. Periodic patterns of sentiment fluctuate on both a daily and a weekly scale: more positive tweets are posted on weekends than on weekdays, with a daily peak in sentiment around midnight and a nadir between 9:00 a.m. and noon.
影响因子：
4.1
作者：
Deffenbacher, JL;Lynch, RS;Swaim, RC
通讯作者：
Swaim, RC