Sentiment Analysis of Tibetan Commentary Based on Hybrid Neural Network Model
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 6Sprache: EnglischTyp: PDF
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Autoren:
Zhu, Yulei; Qun, Nuo; Rang, Ga; Luosai, Baima (Collaborative Innovation Center for Tibet informatization by MOE and Tibet Autonomous Region & College of Information Science and Technology, Tibet University, Lhasa of Tibet, China)
Inhalt:
In recent years, the field of artificial intelligence has been developing rapidly. Under this trend, sentiment analysis gradually becomes an important task in the field of natural language processing. Sentiment analysis plays an important role in opinion analysis, opinion extraction, etc. In this paper, we collect data of Tibetan reviews on different attractions, food, and hotels in Tibet on the Internet and analyze them. In this paper, we propose a hybrid neural network model based on Convolutional Neural Networks, Bidirectional Gated Recurrent Units, and Attention mechanisms, train and test the collected 8000 data for binary sentiment analysis, and conduct baseline experiments with multiple models, and the experimental results show that the hybrid model proposed in this paper effectively improves the accuracy.