Text Classification Algorithms: A Survey

Information

Kamran Kowsari¹  Mojtaba Heidarysafa¹  Kiana Jafari Meimandi¹  Sanjana Mendu¹  Laura Barnes¹  Donald Brown¹ 

[1] Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, USA;

关键词: text classification;    text mining;    text representation;    text categorization;    text analysis;    document classification;   

DOI  :  10.3390/info10040150

来源: DOAJ

【 摘 要 】

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 extractions, dimensionality reduction methods, existing algorithms and techniques, and evaluations methods. Finally, the limitations of each technique and their application in real-world problems are discussed.

【 授权许可】

Unknown