Seasonal variation in collective mood via Twitter content and medical purchases

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Seasonal variation in collective mood via Twitter content and medical purchases

The analysis of sentiment contained in vast amounts of Twitter messages has reliably shown seasonal patterns of variation in multiple studies, a finding that can have great importance in the understanding of seasonal affective disorders, particularly if related with known seasonal variations in cert...

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Bibliographic Details
Main Authors:	Dzogang, Fabon, Goulding, James, Lightman, Stafford, Cristianini, Nello
Format:	Article
Published:	Springer 2017
Subjects:	Social Media Mining Emotions Human Behaviour Periodic Patterns Computational Neuroscience
Online Access:	https://eprints.nottingham.ac.uk/48034/

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