Joy at the café: Tweets reveal where in cities people express different emotions plos PLOSONE
]), it is difficult to investigate relations at a more detailed spatial level, such as the role different recreational facilities might have on mood and emotion in a specific city. In addition, earlier works also tended to focus primarily on positive or negative sentiment measures [In this study, we expand upon the previous research domain and utilize data from the social media platform Twitter to analyze fine-grained human emotions at a city wide level.
. Overall, the aim of our paper is to show how it is possible to study the characteristics of fine-grained emotions at both a spatial and temporal level throughout the whole city, using current technology and publicly available data sets.
This paper is structured as follows. First, we describe how spatial and social media data from Open Street Map and Twitter was collected and processed for San Francisco and London. Next, we highlight the results of an experiment study carried out to evaluate different classification algorithms which could be used to detect user emotions from geotagged tweets, the best performing ones were then used to analyze the tweets collected in this study.
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