Deep Learning Based Text Classification: A Comprehensive Review
Snapchat Inc（Snapchat公司）；Google Brain（谷歌大脑）；Nanyang Technological University（南洋理工大学）；University of Tabriz（大不里士大学）；Microsoft Research（微软研究院）
英文摘要：
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. We also provide a summary of more than 40 popular datasets widely used for text classification. Finally, we provide a quantitative analysis of the performance of different deep learning models on popular benchmarks, and discuss future research directions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
