Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

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.

• SK
  State Key Laboratory of Software Development Environment
• NH
  National High-tech Research and Development Program

  Award: 2012AA011005
• SR
  Specialized Research Fund for the Doctoral Program of Higher Education of China

  Award: 20111102110019