A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs

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Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis

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Microblog sentiment analysis via embedding social contexts into an attentive LSTM

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COVID-19 infodemic on Chinese social media: A 4P framework, selective review and research directions

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Detecting breaking news rumors of emerging topics in social media

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A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

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Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

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