Open access
Sep 2026
An Interpretable and Optimized Attention-Driven LSTM Framework for Email Sentiment Classification
The effectiveness of attention-enhanced sequence models for robust and scalable email sentiment classification is revealed and the use of deep learning models is better than other techniques in terms of understanding sequential dependencies in the input data.
B. Pradhan, Amiya Ranjan Panda, S. Rautaray et al.
· F1000Research · 0 citations