AI RESEARCH
A Comparison of Traditional Machine Learning Algorithms and LSTM-Based Deep Learning Models for Email Sentiment Analysis
arXiv CS.CL
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ArXi:2605.03440v1 Announce Type: new The rapid growth of electronic communication has necessitated robust systems for email classification and sentiment detection. This study presents a comparative performance analysis between traditional machine learning algorithms and deep learning architectures, specifically focusing on Vector Machines (SVMs), Logistic Regression, Naive Bayes, and Long Short-Term Memory