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What is Hybrid BERT Models for Sentiment Analysis about?

The document presents a research study on a sentiment analysis classification system utilizing hybrid BERT models, specifically combining BERT with BiLSTM and BiGRU algorithms to enhance accuracy in sentiment classification from social media data. The proposed models are evaluated against traditional machine learning approaches and demonstrate improved performance, particularly in handling text with and without emojis. The study highlights the importance of sentiment analysis in various sectors and aims to

Author

gee.ahmed.ali

Language

EN