Microblog water army identifying method based on probabilistic graphical model
A probabilistic graphical model, a naval technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of qualitative analysis method accuracy or implementation, it is difficult to achieve good results, and cannot achieve fast and effective results. Effects, methods of qualitative analysis, manual problems, etc.
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[0039] ,See Figure 4 , the present invention is based on a probabilistic graph model microblog water army recognition method, the specific steps of the method are as follows:
[0040] Step 1: In the Sina Weibo platform, suppose there are 4 users whose attribute feature vectors are:
[0041] cu 1 =(0.4,1.4,3.0,5.6),cu 2 =(0.6,2.0,5.4,3.1),cu 3 =(0.8,5.2,15.4,16.3),cu 4 =(1,4.3,17.3,12.3)
[0042] The corresponding behavioral characteristics are:
[0043] you 1 ={0.1,0.3,0.5,0.4}, yu 2 ={0.3,0.6,0.4,0.4}, yu 3 ={0.7,0.4,0.9,0.6}, yu 4 ={0.8,0.9,0.8,0.8}
[0044] Then the learning samples formed are:
[0045] user
attribute 1
attribute 2
attribute 3
attribute 4
Behavior 1
Behavior 2
Behavior 3
Behavior 4
A
0.4
1.4
3.0
5.6
0.1
0.3
0.5
0.4
B
0.6
2.0
5.4
3.1
0.3
0.6
0.4
0.4
C
0.8
5.2
15.4
16.3
0.7
0.4
0.9
0.6
...
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