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Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning
This study provides a predictive measurement tool to examine perceived anxiety from a longitudinal perspective, using a non-intrusive machine learning approach to scale human rating of anxiety in microblogs.
Word Re-Embedding via Manifold Dimensionality Retention
Word embeddings seek to recover a Euclidean metric space by mapping words into vectors, starting from words co-occurrences in a corpus.
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