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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.

Sentiment Analysis. This is the task of analyzing people’s opinions in textual data (e.g., product reviews, movie reviews, or tweets), and extracting their polarity and viewpoint. The task can be cast as either a binary or a multi-class problem. Binary sentiment analysis classifies texts into positive and negative classes, while multi-class

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  Based, Analysis, Texts, Classification, Learning, Deep, Deep learning based text classification

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