- Published
- 2021-04-17
- Venue
- ACM Computing Surveys, vol. 54, no. 3, pp. 1-40
- Cited by
- 1,540
- Open access
- No free copy found
- DOI
- 10.1145/3439726
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 article, we provide a comprehensive review of more than 150 deep learning--based models for text classification developed in recent years, and we 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 we discuss future research directions.
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Minaee, S., Kalchbrenner, N., Cambria, E., Nikzad-Khasmakhi, N., Asgari-Chenaghlu, M., & Gao, J. (2021). Deep Learning--based Text Classification. ACM Computing Surveys, 54(3), 1–40. https://doi.org/10.1145/3439726
- MLA 9
Minaee, Shervin, et al. "Deep Learning--based Text Classification." ACM Computing Surveys, vol. 54, no. 3, 2021, pp. 1–40, https://doi.org/10.1145/3439726.
- Chicago
Minaee, Shervin, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, and Jianfeng Gao. "Deep Learning--based Text Classification." ACM Computing Surveys 54, no. 3 (2021): 1–40. https://doi.org/10.1145/3439726.
- GOST
Minaee S., Kalchbrenner N., Cambria E. [и др.] Deep Learning--based Text Classification // ACM Computing Surveys. — 2021. — Vol. 54, № 3. — P. 1–40. — URL: https://doi.org/10.1145/3439726
- BibTeX
@article{minaee2021deep, title = {{Deep Learning--based Text Classification}}, author = {Shervin Minaee and Nal Kalchbrenner and Erik Cambria and Narjes Nikzad-Khasmakhi and Meysam Asgari-Chenaghlu and Jianfeng Gao}, journal = {ACM Computing Surveys}, year = {2021}, volume = {54}, number = {3}, pages = {1--40}, doi = {10.1145/3439726}, url = {https://doi.org/10.1145/3439726} }- RIS
TY - JOUR AU - Minaee, Shervin AU - Kalchbrenner, Nal AU - Cambria, Erik AU - Nikzad-Khasmakhi, Narjes AU - Asgari-Chenaghlu, Meysam AU - Gao, Jianfeng TI - Deep Learning--based Text Classification JO - ACM Computing Surveys VL - 54 IS - 3 SP - 1 EP - 40 PY - 2021 DA - 2021/04/17 DO - 10.1145/3439726 UR - https://doi.org/10.1145/3439726 ER -