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Combining heterogeneous user generated data to sense well-being
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Tsakalidis, Adam, Liakata, Maria, Damoulas, Theodoros, Jellinek, Brigitte , Guo, Weisi and Cristea, Alexandra I. (2016) Combining heterogeneous user generated data to sense well-being. In: COLING 2016, Osaka, Japan, 11-16 Dec 2016 ISBN 9784879747020.
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Official URL: http://coling2016.anlp.jp/
Abstract
In this paper we address a new problem of predicting affect and well-being scales in a real-world setting of heterogeneous, longitudinal and non-synchronous textual as well as non-linguistic data that can be harvested from on-line media and mobile phones. We describe the method for collecting the heterogeneous longitudinal data, how features are extracted to address missing information and differences in temporal alignment, and how the latter are combined to yield promising predictions of affect and well-being on the basis of widely used psychological scales. We achieve a coefficient of determination (R2) of 0.71 − 0.76 and a ρ of 0.68 − 0.87 which is higher than the state-of-the art in equivalent multi-modal tasks for affect.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
ISBN: | 9784879747020 | ||||||
Official Date: | December 2016 | ||||||
Dates: |
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Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 26 September 2016 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | COLING 2016 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Osaka, Japan | ||||||
Date(s) of Event: | 11-16 Dec 2016 | ||||||
Open Access Version: |
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