Abstract
We propose a statistical study of sentiment produced in an urban environment by collecting tweets submitted in a certain timeframe. Each tweet was processed using our own sentiment classifier and assigned either a positive or a negative label. By calculating the average mood, we were able to run a Mann-Withney’s U test to evaluate differences in the calculated mood per day of week. We found that all days of the week had significantly different medians. We also found positive correlations between Mondays and the rest of the week.
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© 2013 Springer International Publishing Switzerland
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Martínez, V., Gonzílez, V.M. (2013). Sentiment Characterization of an Urban Environment via Twitter. In: Urzaiz, G., Ochoa, S.F., Bravo, J., Chen, L.L., Oliveira, J. (eds) Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction. Lecture Notes in Computer Science, vol 8276. Springer, Cham. https://doi.org/10.1007/978-3-319-03176-7_54
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DOI: https://doi.org/10.1007/978-3-319-03176-7_54
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03175-0
Online ISBN: 978-3-319-03176-7
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