211 to 220 of 591 结果
MS Word (docx) - 19.2 KB - MD5: 440a5be48016af1774a3b96c68ed407f
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Tab-Delimited - 24.2 KB - MD5: 262e83208e34ed5813f9f82f5675c8d8
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2018-6-7
赵, 常煜; 王若佳, 2018, "《健康医疗大数据挖掘：中文电子病历的分词及实体识别研究》的数据", https://doi.org/10.18170/DVN/SDM9GT, 北京大学开放研究数据平台, V1, UNF:6:/C3mUr983IoiEFWjYA/e6A== [fileUNF]
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2018-6-7 -
Medical segmentation dictionary
MS Excel (XLSX) - 86.3 KB - MD5: 18f5b4c6f8f325c8656017f952df5e14
临床医师技能考试100题，病例分析题 |
2018-6-7 -
Medical segmentation dictionary
Tab-Delimited - 3.6 MB - MD5: 58e61aa91c749394aeda3346a622809b
医学分词词典，共有疾病、症状、检查、药物、手术治疗5类词语，为每个词语标注了实体类别和数据来源。 |
2018-6-7
舒, 婵, 2018, "同时发表的论文: 基于大数据的文学作品影视改编分析及预测", https://doi.org/10.18170/DVN/AO2EFM, 北京大学开放研究数据平台, V1, UNF:6:0rHkO0naA47rC5kLmG/CrA== [fileUNF]
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2018-6-7 -
Replication Data for: Analysis and Forecast on the Film Adaption of Literature Based on Big Data
Plain Text - 3.2 MB - MD5: c6fea26391965e14b55b9a8d88044744
1737部影视改编作品的基本信息：地址、题目、年份、主演、编剧、导演、类型、制片国家/地区、上映时间、时长、语言、标签、评分、评论人数、各层分值的分布、简介等。 |
2018-6-7 -
Replication Data for: Analysis and Forecast on the Film Adaption of Literature Based on Big Data
Plain Text - 290.5 MB - MD5: 965bae10be81f18fa16d425037f6a190
876656条改编影视对应的原著的用户评论文本数据 |
2018-6-7 -
Replication Data for: Analysis and Forecast on the Film Adaption of Literature Based on Big Data
MS Excel (XLSX) - 12.7 MB - MD5: 54bf50c5321d6100dd6b7629c5a453b6
88921条影视数据 |
2018-6-7 -
Replication Data for: Analysis and Forecast on the Film Adaption of Literature Based on Big Data
Tab-Delimited - 103.1 KB - MD5: 6e0f2df7dc26392b74edcc86ba3d9acc
改编影视与其原著的对应数据 |
