Semantic Scholar Open Access 2020 1271 sitasi

Deep Learning--based Text Classification

Shervin Minaee E. Cambria Jianfeng Gao

Abstrak

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.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (3)

Shervin Minaee

E. Cambria

Jianfeng Gao

Format Sitasi

APA MLA BibTeX

Minaee, S., Cambria, E., Gao, J. (2020). Deep Learning--based Text Classification. https://doi.org/10.1145/3439726

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 1271×
Sumber Database: Semantic Scholar
DOI: 10.1145/3439726
Akses: Open Access ✓