Enhancing Explainability in Sentiment Analysis Using ConvLSTM with SHAP and LIME: A Case Study on the IMDb Movie Review Dataset
This paper presents a sentiment analysis framework that combines Convolutional Long Short-Term Memory (ConvLSTM) networks with Explainable Artificial Intelligence (XAI) techniques to improve transparency and interpretability in text classification tasks. Using the IMDb movie review dataset, the study replicates previou...