CAJ | 학술논문

为了提高从社交网络文本信息中发现热点话题的准确率，提出一种基于用户关联分析的热点话题识别算法。该算法综合考虑词频变化率和用户权威度，词频变化率通过EMA和MACD等指标来计算，用户权威度通过建立用户关联图的方式来计算。使用基于HITS算法的话题热度度量计算方法，将词频变化率数据和用户权威度数据结合在一起，得到话题的热度值。实验结果表明，使用基于用户关联分析的热点话题识别算法能够提高热点话题发现准确率。
위료제고종사교망락문본신식중발현열점화제적준학솔，제출일충기우용호관련분석적열점화제식별산법。해산법종합고필사빈변화솔화용호권위도，사빈변화솔통과EMA화MACD등지표래계산，용호권위도통과건립용호관련도적방식래계산。사용기우HITS산법적화제열도도량계산방법，장사빈변화솔수거화용호권위도수거결합재일기，득도화제적열도치。실험결과표명，사용기우용호관련분석적열점화제식별산법능구제고열점화제발현준학솔。
To improve the accuracy of detecting hot topic from social network text information , a hot topic identification algorithm based on user relevance analysis is raised .The algorithm considers both the frequency change rate of feature word and the authori -ty of users.The frequency change rate of feature word is elevated using EMA and MACD indicators and the authority of users is calculated by creating user relevance graph .We use a method based on HITS algorithm to calculate the hot value of topic by com-bining feature frequency change rate data with user authority data together .According to the result of the experiment , the hot top-ic identification algorithm based on user relevance analysis can raise the accuracy of hot topic identification .