IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction
J An, L Guo, W Liu, Z Fu, P Ren, X Liu, T Li - Neural Networks, 2021 - Elsevier
In this study, a novel spatiotemporal graph convolutional networks model is proposed for
traffic flow prediction in urban road networks by fully considering an information geometry …
traffic flow prediction in urban road networks by fully considering an information geometry …
[PDF][PDF] Language-oriented Sentiment Analysis based on the Grammar Structure and Improved Self-attention Network.
In the businesses, the sentiment analysis makes the brands understanding the sentiment of
their customers. They can know what people are saying, how they're saying it, and what they …
their customers. They can know what people are saying, how they're saying it, and what they …
Topic-aware hierarchical multi-attention network for text classification
Neural networks, primarily recurrent and convolutional Neural networks, have been proven
successful in text classification. However, convolutional models could be limited when …
successful in text classification. However, convolutional models could be limited when …
An efficient model for sentiment analysis of electronic product reviews in Vietnamese
In the past few years, the growth of e-commerce and digital marketing in Vietnam has
generated a huge volume of opinionated data. Analyzing those data would provide …
generated a huge volume of opinionated data. Analyzing those data would provide …