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Time-aware predictions of moments of change in longitudinal user posts on social media
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Hills, Anthony, Tsakalidis, Adam and Liakata, Maria (2023) Time-aware predictions of moments of change in longitudinal user posts on social media. In: International Workshop on Advanced Analytics and Learning on Temporal Data, 14343 pp. 293-305. ISBN 9783031498954. doi:10.1007/978-3-031-49896-1_19 ISSN 0302-9743.
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Official URL: http://dx.doi.org/10.1007/978-3-031-49896-1_19
Abstract
Capturing changes in an individual’s language is an important aspect of personalised mental health monitoring. A key component is modelling the influence of time, as contextual information both in the recent or distant past/future carries varying semantic weight. We capture and contrast this information by identifying neural, time-sensitive, bi-directional representations of individuals – modelling time-intervals in their social-media posts inspired by the Hawkes process. We demonstrate that our approach helps identify whether an individual’s mood is changing drastically, or smoothly on two social media datasets – yielding superior performance compared to time-insensitive baselines and outperforming the state-of-the-art on the CLPsych 2022 shared task.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Publisher: | Springer | ||||
ISBN: | 9783031498954 | ||||
ISSN: | 0302-9743 | ||||
Book Title: | Advanced Analytics and Learning on Temporal Data | ||||
Official Date: | 20 December 2023 | ||||
Dates: |
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Volume: | 14343 | ||||
Page Range: | pp. 293-305 | ||||
DOI: | 10.1007/978-3-031-49896-1_19 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | International Workshop on Advanced Analytics and Learning on Temporal Data | ||||
Type of Event: | Workshop |
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