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1 result for “passage-level”
Multi-task Learning for Target-dependent Sentiment Classificationcs.LG

Paper presents MTTDSC for better target-specific sentiment classification.

problem Improving accuracy in detecting and aggregating sentiments towards specific targets in social media.
method MTTDSC uses a multi-task learning approach with an auxiliary task for passage-level sentiment classification and a main task for target-specific sentiment classification.
result MTTDSC outperforms state-of-the-art baselines in sentiment classification.
sentiment classificationmulti-task learningtarget-dependentsocial mediapassage-level
2019-02-08abs ↗pdf ↗