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

ABS

書目名稱Artificial Intelligence and Mobile Services – AIMS 2021影響因子(影響力)




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021被引頻次




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021被引頻次學(xué)科排名




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021年度引用




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021年度引用學(xué)科排名




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021讀者反饋




書目名稱Artificial Intelligence and Mobile Services – AIMS 2021讀者反饋學(xué)科排名

體貼

MURKY

苦澀

陪審團

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

無畏

Console

最低點

異端邪說下

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,