在线社区用户画像及自我呈现主题挖掘——以网易云音乐社区为例*
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吴江,刘涛,刘洋
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Mining Online User Profiles and Self-Presentations: Case Study of NetEase Music Community
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Wu Jiang,Liu Tao,Liu Yang
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表5 用户资历与自我呈现内容主题余弦相似度
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Table 5 Cosine Similarity Between Users’ Qualification and Self-presentation Topics
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主题 | L1 | L2 | L3 | L4 | Topic 18 | 1.58% | 2.09% | 2.51% | 3.92% | Topic 1 | 3.23% | 4.24% | 5.14% | 8.09% | Topic 4 | 3.68% | 4.87% | 5.87% | 9.15% | Topic 8 | 3.57% | 4.74% | 5.72% | 9.06% | Topic 10 | 3.51% | 4.66% | 5.58% | 8.74% | Topic 14 | 3.53% | 4.70% | 5.68% | 8.84% | Topic 16 | 1.77% | 2.36% | 2.85% | 4.40% | Topic 25 | 3.74% | 4.93% | 5.94% | 9.32% | Topic 2 | 1.39% | 1.85% | 2.29% | 3.50% | Topic 6 | 2.11% | 2.81% | 3.39% | 5.24% | Topic 13 | 3.70% | 4.90% | 5.91% | 9.25% | Topic 3 | 3.58% | 4.77% | 5.71% | 8.97% | Topic 24 | 3.67% | 4.89% | 5.87% | 9.17% | Topic 9 | 1.11% | 1.45% | 1.75% | 2.77% | Topic 11 | 3.18% | 4.19% | 5.06% | 8.02% | Topic 22 | 2.79% | 3.70% | 4.47% | 6.92% | Topic 21 | 1.67% | 2.19% | 2.66% | 4.17% |
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