Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision
ICDM, pp. 1410-1415, 2018.
Sentence-level sentiment classification aims to mine fine-grained sentiment information from texts. Existing methods for this task are usually based on supervised learning and rely on massive labeled sentences for model training. However, annotating sufficient sentences is expensive and time-consuming. In this paper, we propose a neural s...More
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