基于大数据的旅游目的地情感评价方法探究
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刘逸, 保继刚, 朱毅玲
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Exploring emotion methods of tourism destination evaluation: A big-data approach
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Yi LIU, Jigang BAO, Yiling ZHU
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| 表3 8个旅游目的地的整体情感评价结果（%） |
| Tab. 3 Result of emotional evaluation among eight tourist destinations (%) |
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| 规则 | 评论 | 成都 | 黄山 | 焦作 | 喀纳斯 | 洛阳 | 西双版纳 | 阳朔 | 张家界 | | 评分法 | 正面评论 | 82.6 | 89.1 | 84.8 | 80.0 | 85.4 | 79.7 | 71.3 | 81.6 | | 中性评论 | 14.5 | 9.6 | 12.1 | 18.5 | 12.3 | 15.4 | 20.8 | 14.2 | | 负面评论 | 2.9 | 1.3 | 3.1 | 1.5 | 2.3 | 4.9 | 7.9 | 4.2 | | 规则A | 正面评论 | 93.9 | 92.3 | 91.7 | 95.2 | 93.9 | 93.8 | 91.1 | 93.8 | | 中性评论 | 4.4 | 5.7 | 6.3 | 3.8 | 4.4 | 4.3 | 6.1 | 4.3 | | 负面评论 | 1.7 | 2.0 | 2.0 | 1.0 | 1.7 | 1.9 | 2.8 | 1.9 | | 规则B | 正面评论 | 75.7 | 73.5 | 75.0 | 76.6 | 76.6 | 78.2 | 72.4 | 78.9 | | 中性评论 | 14.5 | 15.4 | 13.2 | 15.2 | 14.0 | 11.5 | 13.8 | 11.7 | | 负面评论 | 9.8 | 11.1 | 11.8 | 8.2 | 9.4 | 10.3 | 13.8 | 9.4 | | 规则C1 | 正面评论 | 78.7 | 75.4 | 76.9 | 79.5 | 78.9 | 77.6 | 72.3 | 76.2 | | 中性评论 | 7.9 | 9.1 | 7.9 | 9.3 | 8.4 | 8.9 | 9.7 | 10.7 | | 负面评论 | 13.4 | 15.5 | 15.2 | 11.2 | 12.7 | 13.5 | 18.0 | 13.1 | | 规则C2 | 正面评论 | 75.9 | 71.6 | 73.8 | 75.7 | 75.8 | 74.2 | 68.9 | 71.9 | | 中性评论 | 4.6 | 6.2 | 4.9 | 5.6 | 5.2 | 5.8 | 5.6 | 7.0 | | 负面评论 | 19.5 | 22.2 | 21.3 | 18.7 | 19.0 | 19.9 | 25.5 | 20.9 | | 规则C3 | 正面评论 | 73.7 | 68.2 | 71.3 | 73.5 | 73.2 | 71.5 | 66.3 | 68.7 | | 中性评论 | 3.3 | 4.7 | 3.7 | 3.5 | 3.9 | 4.1 | 4.0 | 5.0 | | 负面评论 | 23.1 | 27.1 | 25.1 | 22.9 | 22.9 | 24.4 | 29.7 | 26.3 |
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