Mining Chinese Historical Sources At Scale: A Machine Learning-Approach to Qing State Capacity
收藏NBER2024-09-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w32982
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资源简介：
Primary historical sources are often by-passed for secondary sources due to high human costs of accessing and extracting primary informationespecially in lower-resource settings. We propose a supervised machine-learning approach to the natural language processing of Chinese historical data. An
提供机构：
美国国家经济研究局
创建时间：
2024-09-01
