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 …

Nowadays, with the development of media technology, people receive more and more
information. Among them, the most important is the text classification technology. This paper …

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 …

In the process of text classification, due to the short length of news headlines and sparse text
features, it is difficult for headline samples to provide sufficient and valuable features for …

With the rapid development of Internet technology, there are more and more text data on the
Internet. Traditional manual text sorting methods can no longer cope with the current data …

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 …

One of the popular directions of natural language processing is text processing, which is an
effective method used to manage data, and it has developed rapidly after the rise of artificial …

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 …

News text classification is an important subtask in natural language processing. News text is
not only unstructured text, but also its structure information is relatively fuzzy. Therefore …

The advancement in technology is taking place with an accelerating pace across the globe.
With the increasing expansion and technological advancement, a vast volume of text data …