We propose Adaptive Recursive Neural Network (AdaRNN) for target-dependent Twitter sentiment classification. AdaRNN adaptively propagates the sentiments of words to target depending on the context and syntactic relationships between them. It consists of more than one composition functions, and we model the adaptive sentiment propagations as distributions over these composition functions. The experimental studies illustrate that AdaRNN improves the baseline methods. Furthermore, we introduce a manually annotated dataset for target-dependent Twitter sentiment analysis.
Li REF proposed to the Adaptive Recursive Neural Network (AdaRNN) for targetdependent Twitter sentiment classification.
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
ACL
Computer Science