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

Textual Entailment Recognition with Semantic Features from Empirical Text Representation

no code implementations • 18 Oct 2022 • Md Shajalal, Md Atabuzzaman, Maksuda Bilkis Baby, Md Rezaul Karim, Alexander Boden

In this paper, we propose a novel approach to identifying the textual entailment relationship between text and hypothesis, thereby introducing a new semantic feature focusing on empirical threshold-based semantic text representation.

Natural Language Inference Natural Language Understanding +2