A BiLSTM with self-attention, trained on noisy labels from Twitter user descriptions, can produce low-dimensional projections that let a user spot mislabeled political accounts, with MDS reported as the fastest projection method.
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A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation
A BiLSTM with self-attention, trained on noisy labels from Twitter user descriptions, can produce low-dimensional projections that let a user spot mislabeled political accounts, with MDS reported as the fastest projection method.