Titlebook: Artificial Intelligence and Mobile Services – AIMS 2021; 10th International C Yi Pan,Zhi-Hong Mao,Liang-Jie Zhang Conference proceedings 20

ABS

书目名称Artificial Intelligence and Mobile Services – AIMS 2021影响因子(影响力)




书目名称Artificial Intelligence and Mobile Services – AIMS 2021影响因子(影响力)学科排名




书目名称Artificial Intelligence and Mobile Services – AIMS 2021网络公开度




书目名称Artificial Intelligence and Mobile Services – AIMS 2021网络公开度学科排名




书目名称Artificial Intelligence and Mobile Services – AIMS 2021被引频次




书目名称Artificial Intelligence and Mobile Services – AIMS 2021被引频次学科排名




书目名称Artificial Intelligence and Mobile Services – AIMS 2021年度引用




书目名称Artificial Intelligence and Mobile Services – AIMS 2021年度引用学科排名




书目名称Artificial Intelligence and Mobile Services – AIMS 2021读者反馈




书目名称Artificial Intelligence and Mobile Services – AIMS 2021读者反馈学科排名

体贴

MURKY

苦涩

陪审团

Multimodal Social Media Sentiment Analysis Based on Cross-Modal Hierarchical Attention Fusiont outstanding pre-training models are used to obtain emotional features of various modalities. And then, we propose cross-modal global fusion and cross-modal high-level semantic fusion methods to combine the features of different levels. At last, we conduct extensive experiments on a real Chinese mu

无畏

Console

最低点

异端邪说下

Artificial Intelligence and Mobile Services – AIMS 202110th International C

Rodent

A Combination of Resampling Method and Machine Learning for Text Classification on Imbalanced Dataset. Results show that, 5 different oversampling method and SmoteTomek method can rebalance the dataset effectively, which can improve the recognition rate of models on the minority class obviously, while undersampling methods decrease the overall accuracy of models on imbalanced dataset. Meanwhile,