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Interpreting sarcasm on social media using attention-based neural networks

  • Published:2022-12 Issue: Volume:258 Page:109977
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Keivanlou-Shahrestanaki Zahra,Kahani Mohsen,Zarrinkalam Fattane

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference57 articles.

1. Interpretable multi-head self-attention architecture for sarcasm detection in social media;Akula;Entropy,2021

2. Advances in social media research: Past, present and future;Kapoor;Inform. Syst. Front.,2018

3. Multi-view informed attention-based model for irony and satire detection in spanish variants;Ortega-Bueno;Knowl.-Based Syst.,2022

4. Sarcasm detection using multi-head attention based bidirectional LSTM;Kumar;Ieee Access,2020

5. Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research;Poria;IEEE Trans. Affect. Comput.,2020

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