信息工程大学学报2023，Vol.24Issue(6)：669-674,6.DOI:10.3969/j.issn.1671-0673.2023.06.005
汉英新闻领域词典构建及文本分类
Chinese-English News Domain Dictionary Construction and Text Classification
张彦彦1
作者信息
- 1. 河南财经政法大学,河南郑州 450046||信息工程大学,河南郑州 450001
- 折叠
摘要
Abstract
For that texts in news reports have problems of domain crossover and semantic sparsity,a fine-grained news text classification method combining hierarchical network of concepts word knowl-edge base with domain dictionary additional feature vectors was proposed to meet the needs of multi-level text classification.Experimental results show that the multi-layer text classifier with domain dic-tionary feature vectors has better performance in both father and sub-domain text classification.From the results of the overall classification implementation,the effect of the first-layer text classification is better than that of the second-layer text classification.The second-layer text classification effect is affected by the upper-layer classification.The father domain with better domain classification effect performs better in the process of sub-domain classification.关键词
新闻文本/概念层次网络/文本分类/领域词典Key words
news report/hierarchical network of concepts/text classification/domain dictionary分类
信息技术与安全科学引用本文复制引用
张彦彦..汉英新闻领域词典构建及文本分类[J].信息工程大学学报,2023,24(6):669-674,6.
