In the existing research on Chinese natural language processing text feature extraction has
always been a core problem in this field, and the advantages and disadvantages of text …

With the rapid development of deep learning, neural networks have been widely used in
natural language processing tasks and achieved good results. Since convolutional neural …

Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …

Aiming at the problem that the current text classification neural network cannot fully extract
the semantic structure feature information between words and sentences and sentences, a …

[Objective] In order to promote the accuracy of text feature extraction method based on
network, this paper builds a more accurate text network by dependency parsing.[Methods] …

With the high-speed development of the Internet, a growing number of Internet users like
giving their subjective comments in the BBS, blog and shopping website. These comments …

This paper aims to catalyze the discussions about text feature extraction techniques using
neural network architectures. The research questions discussed in the paper focus on the …

Selection of a text characteristic is a prerequisite for text mining and information retrieval.
Traditional techniques of feature extraction demand the use of custom features that must be …

This article aims to study the process of automatic text classification, with a focus on two key
steps: feature extraction and classification processing. By adopting suitable feature …

Due to the rapid development of social media nowadays, a large amount of information,
especially text-based information, is widely spread in social media, which exposes the …