细粒度用户评论情感分析数据集（2018-AI-challenger）

共包含6大类20个细粒度要素的情感倾向.数据集分为训练、验证、测试A与测试B四部分。数据集中的评价对象按照粒度不同划分为两个层次，层次一为粗粒度的评价对象，例如评论文本中涉及的服务、位置等要素；层次二为细粒度的情感对象，例如“服务”属性中的“服务人员态度”、“排队等候时间”等细粒度要素。每个细粒度要素的情感倾向有四种状态：正向、中性、负向、未提及.

 属性            大小     日期    时间   名称
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     目录           0  2018-11-13 10:05  Open7020\ai_challenger_sentiment_analysis_testa_20180816\
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     目录           0  2018-08-16 20:32  Open7020\ai_challenger_sentiment_analysis_validationset_20180816\
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     文件        1794  2018-08-16 20:17  Open7020\ai_challenger_sentiment_analysis_validationset_20180816\protocol.txt
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     文件         204  2018-08-16 20:32  Open7020\ai_challenger_sentiment_analysis_validationset_20180816\README.txt
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     文件         212  2018-08-16 20:32  __MACOSX\Open7020\._ai_challenger_sentiment_analysis_validationset_20180816
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