Score embedding, a CNN initialized with per-class word frequencies, reaches about 69% accuracy on ACA tweets and 46% on SST, but its central public-opinion finding is confounded by the imbalanced training labels.
Adaptive subgradient methods for online learn- ing and stochastic optimization.Journal of Ma- chine Learning Research, 12(Jul), 2011
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Twitter Sentiment on Affordable Care Act using Score Embedding
Score embedding, a CNN initialized with per-class word frequencies, reaches about 69% accuracy on ACA tweets and 46% on SST, but its central public-opinion finding is confounded by the imbalanced training labels.