Arabic Sentiment Analysis with Noisy Deep Explainable Model

no code implementations • 24 Sep 2023 • Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Alexander Boden

This paper proposes an explainable sentiment classification framework for the Arabic language by introducing a noise layer on Bi-Directional Long Short-Term Memory (BiLSTM) and Convolutional Neural Networks (CNN)-BiLSTM models that overcome over-fitting problem.

Arabic Sentiment Analysis Sentiment Classification