Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media

Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media

Sarcasm and irony represent intricate linguistic forms in social media communication, demanding nuanced comprehension of context and tone. In this study, we propose an advanced natural language processing methodology utilizing long short-term memory with an attention mechanism (LSTM-AM) to achieve a...

Full description

Bibliographic Details
Main Authors: Deborah Olaniyan, Roseline Oluwaseun Ogundokun, Olorunfemi Paul Bernard, Julius Olaniyan, Rytis Maskeliūnas, Hakeem Babalola Akande
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Computers
Subjects:
sarcasm
irony
social media
deep learning
attention mechanism
Online Access:https://www.mdpi.com/2073-431X/12/11/231

Similar Items

Similar Items