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

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...

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Bibliographic Details
Main Authors: Jun, Mao, Zhe, Qian, Terry, Lucas
Format: Article
Language:English
Published: IEEE 2023
Subjects:
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
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