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What is Text-Based Emotion Recognition Using Deep Learning about?

The article presents a hybrid model combining machine learning and deep learning techniques for text-based emotion recognition, achieving an accuracy of 80.11%. It addresses limitations in existing methods by utilizing convolutional neural networks (CNN) and Bi-GRU alongside support vector machines, and evaluates performance on diverse datasets including sentences, tweets, and dialogs. The proposed model aims to enhance human-computer interaction by effectively detecting emotions from text, which traditiona

Author

Aytree Barua

Language

EN