A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM

• Main Authors: Islam, Md Shofiqul, Ngahzaifa, Ab. Ghani
• Format: Conference or Workshop Item
• Language: English
• Published: Springer Singapore 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/33280/1/A%20novel%20BiGRUBiLSTM%20model%20for%20multilevel%20sentiment%20analysis%20using%20deep%20neural%20network%20with%20BiGRU-%20BiLSTM.pdf; http://umpir.ump.edu.my/id/eprint/33280/; https://doi.org/10.1007/978-981-33-4597-3_37; https://doi.org/10.1007/978-981-33-4597-3_37
• Institution: Universiti Malaysia Pahang

In multilevel sentiment classification task, there is a challenging task of limited coherence, contextual and semantic information. This paper proposes a new hybrid deep learning architecture for multilevel text sentiment classification with less training and simple network structure for better perf...