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What is CNN vs Logistic Regression for Sentiment Analysis about?

This research compares the performance of Convolutional Neural Networks (CNN) and Logistic Regression (LR) for multiclass sentiment classification on social media content. The study found that the LR model outperformed CNN in overall accuracy and recall, particularly in detecting negative sentiments. The results indicate that while CNN can achieve high recall for certain classes, it struggles with class 0, highlighting limitations in addressing class imbalance.

Author

ryanaputeranto

Language

EN