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...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer
2017
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/48034/ |