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Found 3 papers, 1 papers with code
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media
In this paper, we present a novel pool-based active learning method that can be used for the training of large unlabeled corpus with minimum annotation cost.
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19
We expect this data set to be useful for many research purposes, including stance detection, evolution and dynamics of opinions regarding this outbreak, and changes in opinions in response to the exogenous shocks such as policy decisions and events.
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model
Our topic model identifies topics' recurrence over time with a varying time resolution.
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