CAJ | 학술논문

子话题是对话题的再次划分,是比话题粒度更细的新兴研究方向,子话题的聚类是话题内部演化关系分析的基础.提出了融合内容特征和时间特征的中文新闻子话题聚类方法,重点分析了子话题内容特征的表现规律,研究了子话题特征词的权重计算和降维方法.选取5个话题的18个子话题进行了实验,结果表明,所提方法的性能与已有的子话题聚类方法相比有显著提高.
자화제시대화제적재차화분,시비화제립도경세적신흥연구방향,자화제적취류시화제내부연화관계분석적기출.제출료융합내용특정화시간특정적중문신문자화제취류방법,중점분석료자화제내용특정적표현규률,연구료자화제특정사적권중계산화강유방법.선취5개화제적18개자화제진행료실험,결과표명,소제방법적성능여이유적자화제취류방법상비유현저제고.
Subtopic is the division for the topic, and it is a new research direction compared with the topic. Subtopic clustering is the base for the analysis of topic evolution relations. This paper proposes a new method of clustering Chinese news subtopic integrating content and time features. It focuses on the analysis of subtopic content feature in text, and studies the computation of subtopic word weights and the dimension reduction of subtopic words. Five topics including 18 subtopics are used to conduct the experiment. Experimental results show that the performance of the proposed method is better than the existing subtopic identification methods.