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This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification.
Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes.
In this study, we explore capsule networks with dynamic routing for text classification.
#3 best model for Sentiment Analysis on MR
Due to this nature, the multi-label text classification task is often considered to be more challenging compared to the binary or multi-class text classification problems.
Extreme multi-label text classification (XMTC) aims at tagging a document with most relevant labels from an extremely large-scale label set.
Hate speech and abusive language spreading on social media need to be detected automatically to avoid conflict between citizen.