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Student Project | Computer Technology | India | Volume 14 Issue 4, April 2025 | Popularity: 4.6 / 10
Emotion Correlation Mining Through Deep Learning
Hridhya Das N, Rinsa Rees
Abstract: In this project, we present a hybrid model adopting deep-learning techniques for sentiment categorization and emotion correlation mining using RoBERTa and LSTM. The model applies LSTM architectures to learn and predict sequences and to tokenize and embed contextual words with RoBERTa. The intuitive GUI from the model is claimed to improve classification accuracy.
Keywords: Deep Learning, RoBERTa, LSTM, GUI
Edition: Volume 14 Issue 4, April 2025
Pages: 1560 - 1564
DOI: https://www.doi.org/10.21275/SR25416201655
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