Affective-knowledge-enhanced graph convolutional networks for aspect-based sentiment analysis with multi-head attention

HIGHLIGHTS

• who: Xiaodong Cui et al. from the The Engineering Research Center of Cyberspace, Yunnan University, Kunming, China have published the paper: Affective-Knowledge-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Analysis with Multi-Head Attention, in the Journal: (JOURNAL)
• what: The authors propose a novel GNN model MHAKE-GCN which is based on the neural network (GCN) and_(MHA). The authors demonstrate that incorporating external affective knowledge can improve the expression of a specific aspect. Liang et_al utilized SenticNet to inject affective knowledge based on the model proposed by Zhang et_al and obtained a . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.