Text Classification Algorithms: A Survey

doi:10.3390/info10040150

Text Classification Algorithms: A Survey

2019-04-23

0

OA

AI

DOI：10.3390/info10040150

原文链接

查看原文

摘要

En 中文

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.

Text Classification Algorithms: A Survey

摘要

AI总结

期刊

机构

引用论文