Supervised Document Classification Algorithm
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A Supervised Document Classification Algorithm is a document classification algorithm that is a supervised text-item classification algorithm.
- Context:
- It can be implemented by a Supervised Document Classification System (to solve a Supervised Document Classification Task).
- It can range from being a Supervised Binary Document Classification Algorithm to being a Supervised Multiclass Document Classification Algorithm.
- It can range from being a Supervised Unilabel Document Classification Algorithm to being a Supervised Multilabel Document Classification Algorithm.
- …
- Example(s):
- Counter-Example(s):
- See: Supervised Image Classification Algorithm.
References
2020
- (Zhang et al., 2020) ⇒ Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, and Liang Wang. (2020). “Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks.” arXiv preprint arXiv:2004.13826
2019
- (Kowsari et al., 2019) ⇒ Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura Barnes, and Donald Brown. (2019). “Text Classification Algorithms: A Survey.” Information 10, no. 4
2017
- (Nasteski, 2017) ⇒ Vladimir Nasteski. (2017). “An Overview of the Supervised Machine Learning Methods.” Horizons.
2016
- (Singh et al., 2016) ⇒ Amanpreet Singh, Narina Thakur, and Aakanksha Sharma. (2016). “A Review of Supervised Machine Learning Algorithms.” In: Proceedings of the 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).
1997
- Daphne Koller, and Mehran Sahami. (1997). “Hierarchically Classifying Documents Using Very Few Words.” In: Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997).