| 英文摘要 |
The user hierarchical partition is an important part of the public opinion analysis. To solve the problem of incomplete user influential characteristics, multi-dimensional information mining is used to analyze the factors of user influence hierarchy by integration of user subject similarity, emotional tendency, community influence and other characteristics. A hierarchical partition method of user influence based on fusion feature similarity is proposed. Experiments from real micro blog data show the effectiveness of the proposed method. |
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