Transcription of Deep Learning Based Text Classification: A Comprehensive ...
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Deep Learning Based Text Classification: A Comprehensive ...
deep Learning Based Text classification : A Comprehensive Review Shervin Minaee, Snapchat Inc Nal Kalchbrenner, Google Brain, Amsterdam Erik Cambria, Nanyang Technological University, Singapore Narjes Nikzad, University of Tabriz Meysam Chenaghlu, University of Tabriz Jianfeng Gao, Microsoft Research, Redmond [ ] 4 Jan 2021. Abstract. deep Learning Based models have surpassed classical machine Learning Based approaches in various text classification tasks, including sentiment analysis, news categorization, question answering, and natural language inference. In this paper, we provide a Comprehensive review of more than 150 deep Learning Based models for text classification developed in recent years, and discuss their technical contributions, similarities, and strengths.
On the other hand, machine learning based approaches learn to classify text based on observations of data. Using pre-labeled examples as training data, a machine learning algorithm learns inherent associations between texts and their labels. Machine learning models have drawn lots of attention in recent years. Most classical machine learning based
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