Text Classification Algorithms: A Survey
University of Virginia Health System · University of Virginia
Abstract
In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to accurately classify texts in many applications. Many machine learning approaches have achieved surpassing results in natural language processing. The success of these learning algorithms relies on their capacity to understand complex models and non-linear relationships within data. However, finding suitable structures, architectures, and techniques for text classification is a challenge for researchers. In this paper, a brief overview of text classification algorithms is discussed. This overview covers different text feature…
Citation impact
- FWCI
- 79.65
- Percentile
- 100%
- References
- 210
Authors
6- KKKamran KowsariCorresponding
University of Virginia Health System, University of Virginia
- KJKiana Jafari Meimandi
University of Virginia
- MHMojtaba Heidarysafa
University of Virginia
- SMSanjana Mendu
University of Virginia
- LBLaura Barnes
University of Virginia Health System, University of Virginia
Topics & keywords
- Dimensionality reduction
- Feature (linguistics)
- Natural language
- Curse of dimensionality
- Statistical classification
- Natural language understanding
- Support vector machine