Research on Topic Fusion Graph Convolution Network News Text Classification Algorithm Cover

.blurhash-client-img { display: none !important; }

Research on Topic Fusion Graph Convolution Network News Text Classification Algorithm

International Journal of Advanced Network, Monitoring and Controls

Volume 7 (2022): Issue 3 (January 2022)

By: Li Liu and Yongyong Sun

Open Access

|May 2023

Figures & Tables

Framework of Graph Convolution Text Categorization Algorithm Based on LDA-THG

The structure of LDA-THG

The process diagram of topic and word distribution obtained by LDA model

Influence of topic number on classification results of LDA-THG+GCN model on three data sets

Influence of W on classification results of LDA-THG+GCN model on Ch_News data set

Statistical table of data sets used in experiments

Dataset	Total_docs	Training_docs	Testing_docs	Total_words	Categories
20NewsGroup	18,846	13,192	5,654	42,739	20
AGNews	8,000	5,600	2,400	32,653	4
CH_News	1,080	756	324	13,324	5

Comparison of experimental results

DataSets	20newsgroup	AGNews	Ch_News
Model	20newsgroup	AGNews	Ch_News
SVM+LDA	0.6827	0.7241	0.6956
CNN	0.7160	0.8059	0.6893
Text-GCN	0.8634	0.9245	0.7402
LDA-THG+GCN	0.8796	0.9310	0.7594

DOI: https://doi.org/10.2478/ijanmc-2022-0030 | Journal eISSN: 2470-8038

Journal RSS Feed

Language: English

Page range: 90 - 100

Published on: May 24, 2023

Published by: Xi’an Technological University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Text Graph Convolutional Network,

Graph Convolutional Network,

Latent Dirichlet Allocation Topic Model(LDA topic model),

Related subjects:

Computer sciences,

Computer sciences, other

© 2023 Li Liu, Yongyong Sun, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous article Volume 7 (2022): Issue 3 (January 2022)