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Identifying X (Formerly Twitter) Posts Relevant to Dementia and COVID-19: Machine Learning Approach.

Mehrnoosh AziziAli Akbar JamaliRaymond J Spiteri
Published in: JMIR formative research (2024)
Transfer learning algorithms such as ALBERT are highly effective in identifying topic-specific posts, even when trained with limited or adjacent data, highlighting their superiority over other ML algorithms and applicability to other studies involving analysis of social media posts. Such an automated approach reduces the workload of manual coding of posts and facilitates their analysis for researchers and policy makers to support patients with dementia and their caregivers and other vulnerable populations.
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