Arabic aspect-based sentiment classification using seq2seq dialect normalization and transformers

HIGHLIGHTS

  • who: Mohammed ElAmine Chennafi and colleagues from the Department of Mathematics and Computer Science, Faculty of Science and Technology, University of Ahmed DRAIA, Adrar, Algeria have published the article: Arabic Aspect-Based Sentiment Classification Using Seq2Seq Dialect Normalization and Transformers, in the Journal: Knowledge 2022, of July/22,/2022
  • what: The authors propose a new solution that improves the results of ABSA by converting the dialectical text into MSA using text normalization. The aim of this project was to build a hybrid system that translates most of the dialects on social media into MSA, This . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?