情报杂志
情報雜誌
정보잡지
JOURNAL OF INFORMATION
2014年
7期
176-179
,共4页
微博水军%综合指数%熵值法%特征选择%情感词表
微博水軍%綜閤指數%熵值法%特徵選擇%情感詞錶
미박수군%종합지수%적치법%특정선택%정감사표
micro-blog water army%comprehensive index%entropy method%feature selection%emotional vocabulary
微博水军的存在极大地影响了微博上的信息质量。研究了微博环境下水军的特征,并从水军博主特征和博主所发微博特征这两个方面提取多个水军特征指标,使用熵值法确定各指标权重,并结合多指标综合指数法建立了微博水军自动识别模型。使用微博样本进行测试后,模型得到了82.3%的准确率和85.8%的召回率。
微博水軍的存在極大地影響瞭微博上的信息質量。研究瞭微博環境下水軍的特徵,併從水軍博主特徵和博主所髮微博特徵這兩箇方麵提取多箇水軍特徵指標,使用熵值法確定各指標權重,併結閤多指標綜閤指數法建立瞭微博水軍自動識彆模型。使用微博樣本進行測試後,模型得到瞭82.3%的準確率和85.8%的召迴率。
미박수군적존재겁대지영향료미박상적신식질량。연구료미박배경하수군적특정,병종수군박주특정화박주소발미박특정저량개방면제취다개수군특정지표,사용적치법학정각지표권중,병결합다지표종합지수법건립료미박수군자동식별모형。사용미박양본진행측시후,모형득도료82.3%적준학솔화85.8%적소회솔。
Micro-blog Water Army has highly affected the information quality. In this paper, We extract several characteristic indices from Micro-bloggers' features and features of Micro-bloggers' weibo by studying the characteristics of Micro-blog water army. Based on index weights of these indices defined by entropy method, this paper establishes an automatic recognition model of Micro-blog by using multi-index comprehensive index method. After testing, the precision ratio of this model reached 87. 3% and recall ratio reached 83. 6%.