CAJ | 학술논문

针对中文新闻网页的特点，使用了包括统计特征、位置特征和词性特征等在内的多种特征综合评定候选关键词的权重大小。对于部分分词结果不能良好地反映主题的问题，提出了一种基于有向图的组合词生成方法，旨在找出高频次的相邻词作为组合词。实验结果表明，该方法较传统的TF-IDF方法效率有较大提升，能够有效提取出新闻网页关键词。
침대중문신문망혈적특점，사용료포괄통계특정、위치특정화사성특정등재내적다충특정종합평정후선관건사적권중대소。대우부분분사결과불능량호지반영주제적문제，제출료일충기우유향도적조합사생성방법，지재조출고빈차적상린사작위조합사。실험결과표명，해방법교전통적TF-IDF방법효솔유교대제승，능구유효제취출신문망혈관건사。
Considering the characteristics of Chinese news Web pages, this paper uses many features including statistical feature, position feature and POS(Part of Speech)feature to evaluate the weight of candidate keywords. In order to solve the problem of that some segmentation cannot reflect the theme, this paper proposes a compound words generation method based on directed graph, which aims to find adjacency words for compound words. The experimental results show that this method is vastly superior to the conventional TF-IDF method in efficiency and can extract keyword from news Web page efficiently.