Sentiment Analysis of Animated Online Education Texts Using Long Short-Term Memory Networks in the Context of the Internet of Things

• Main Authors: Jun, Mao, Zhe, Qian, Terry, Lucas
• Format: Article
• Language: English
• Published: IEEE 2023
• Subjects: NX Arts in general; T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/43028/3/Sentiment.pdf; http://ir.unimas.my/id/eprint/43028/; https://ieeexplore.ieee.org/document/10268925; https://doi.org/10.1109/ACCESS.2023.3321303

This work aims to introduce Long Short-Term Memory (LSTM) under the Internet of Things (IoT) context to enhance the accuracy and granularity of sentiment analysis in animated online education texts. It employs a multimodal data collection approach and uses IoT technology to gather multimodal textual...