Sentiment classification algorithm based on the cascade of bert model and adaptive sentiment dictionary

HIGHLIGHTS

• who: Ruixue Duan and collaborators from the Computer School, Beijing Information Science and Technology University, Beijing, China have published the article: Sentiment Classification Algorithm Based on the Cascade of BERT Model and Adaptive Sentiment Dictionary, in the Journal: Wireless Communications and Mobile Computing of 15/08/2021
• what: The aim of this model is to use large-scale unlabelled corpus for unsupervised training, so as to obtain a word embedding representation containing rich semantic information. Next, the authors introduce how the judgment process of sentiment analysis is completed. To verify the effectiveness of the model . . .
  

   

  

  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.