Text classification based on deep belief network and softmax regression
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A Deep Belief Network (DBN) is rarely used for cyberbullying detection; in the majority of cases, it is used as one of the components of hybrid models.
“A Deep Belief Network (DBN) is rarely used for cyberbullying detection. In the majority of cases, the network is used as one of the components of hybrid models [126].”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [126]
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Sensor-based and vision-based human activity recognition: A comprehensive survey
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A Review on Deep-Learning-Based Cyberbullying Detection
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“In the majority of cases, the network is used as one of the components of hybrid models [126].”
MethodWang, J., Li, S., Han, B., An, Z., Xin, Y., Qian, W., & Wu, Q. (2019) · Measurement Science and Technology · doi:10.1088/1361-6501/aaf319 · Cited by 61 · see citing works
- Authors
- Jiang, M., Liang, Y., Feng, X., Fan, X., Pei, Z., Xue, Y., & Guan, R.
- Affiliations
- Inner Mongolia University for Nationalities (CN)
- Jilin University (CN)
- Nanjing University of Information Science and Technology (CN)
- Corresponding author
- Guan, Renchu
- Venue
- Neural Computing and Applications
- Published
- 2016-06-14
- Volume
- 29
- Issue
- 1
- Pages
- 61-70
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2423124209
- Cited by
- 268
- References
- 43
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 27 · 2023: 29 · 2022: 41 · 2021: 42 · 2020: 54 · 2019: 41 · 2018: 11 · 2017: 8 · 2016: 1
- FWCI
- 16.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neural Computing and Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- text classification, deep belief network, softmax regression, hybrid model, high-dimensional sparse data, feature extraction, limited-memory BFGS, fine-tuning, Reuters-21578, 20 Newsgroups
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