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A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis
Then we model the correlation between the image regions and semantics of the word by extracting the textual features related to the bi-attentive visual features by applying semantic attention.
Multimodal Sentiment Analysis
Multimedia
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
In this paper, we extract and study the opinion of people from the top five worst affected countries by the virus, namely USA, Brazil, India, Russia, and South Africa.
