Chinese news text classification method based on combination-convolutional neural network
A convolutional neural network and text classification technology, applied in the field of Chinese news text classification, can solve the problems of Chinese text classification training and slow work, defects in extraction methods, etc., achieve good text classification effect, improve accuracy rate, and improve classification effect Effect
Active Publication Date: 2021-06-18
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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In 2008, Collobert et al. proposed and adopted a neural network method to represent text vocabulary as tensor data, that is, similar words are mapped to similar positions in the vector space, and the meaning of a word is determined by the vocabulary of its context, but its shared word embedding way only low-level information in matrix collaboration
However, the training and work of this method for Chinese text classification is very slow, because the term set and word N-gram of Chinese text classification are much larger than those of English text classification
Moreover, character-level feature processing abandons the semantic information of words. For Chinese, there are many overlapping semantics between words and characters, and the feature extraction method is flawed.
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[0040]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0041] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0042] refer to figure 1 As shown, the present embodiment provides a Chinese news text classification method based on a combination-convolutional neural network, comprising the following steps:
[0043] S1. Obtain...
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The invention discloses a Chinese news text classification method based on a combinatorial-convolutional neural network, and the method comprises the steps: S1, obtaining a Chinese news text data set, and carrying out the preprocessing of the data set; S2, constructing a vocabulary based on the preprocessed data set, and performing standardization processing on the Chinese news text in the preprocessed data set through the vocabulary to obtain text feature representation of the Chinese news text; and S3, constructing a combination-convolutional neural network model, training the combination-convolutional neural network model based on the standardized data set, and completing Chinese news text classification through the trained combination-convolutional neural network model. According to the method, the Chinese news texts can be accurately and effectively classified.
Description
technical field [0001] The present invention relates to the technical field of Chinese news text classification, in particular to a Chinese news text classification method based on combination-convolutional neural network. Background technique [0002] Today, the Internet and big data industries are booming, and news has become one of the important means for people to understand social dynamics and obtain social information resources. Since the late 1990s, many news websites have been established, and there are also many types of mobile news APPs, resulting in massive news data. In order to efficiently acquire and manage valuable news data, news text classification has become a hot research field in the world. The realization of news text classification is helpful to the management of text information, the realization of news order and the mining of news data. [0003] Due to the influence of global economic integration, Chinese, as the most widely used language in the wor...
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IPC IPC(8): G06F16/35G06F16/31G06F40/237G06F40/284G06N3/04G06N3/08
CPCG06F16/353G06F16/316G06F40/237G06F40/284G06N3/04G06N3/08
Inventor 张昱刘开峰高凯龙王艳歌苏仡琳李继涛
Owner BEIJING UNIV OF CIVIL ENG & ARCHITECTURE