Review of Text analysis Based on Deep Learning

摘要

Text analysis using data mining technology can acquire and discover implicit knowledge, which is a process from text information description and feature extraction to knowledge formation. The spatial representation of text data and semantic information can be simplified and identified using end-to-end deep learning algorithms. This paper reviews the text analysis based on deep learning. Firstly, this article analyzes the process of the text learning, then text analysis learning models are summarized, including convolutional neural networks, recurrent neural networks, and deep learning algorithm fusion and so on. Furthermore, the applications of text analysis based on deep learning are introduced.