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Computer Science > Computation and Language

arXiv:2303.05891 (cs)
[Submitted on 10 Mar 2023]

Title:Creation and evaluation of timelines for longitudinal user posts

Authors:Anthony Hills, Adam Tsakalidis, Federico Nanni, Ioannis Zachos, Maria Liakata
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Abstract:There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts into timelines in a meaningful way that improves the quality and cost of manual annotation. Here we propose a set of methods for segmenting longitudinal user posts into timelines likely to contain interesting moments of change in a user's behaviour, based on their online posting activity. We also propose a novel framework for evaluating timelines and show its applicability in the context of two different social media datasets. Finally, we present a discussion of the linguistic content of highly ranked timelines.
Comments: Accepted at EACL 2023 (main, long); camera-ready version
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2303.05891 [cs.CL]
  (or arXiv:2303.05891v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2303.05891

Submission history

From: Anthony Hills [view email]
[v1] Fri, 10 Mar 2023 12:58:34 UTC (14,104 KB)
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