20 Newsgroups数据集

20 Newsgroups数据集

原文：

The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: Learning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become a popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.

译：

20个新闻组数据集是大约20000个新闻组文档的集合，几乎均匀地分布在20个不同的新闻组中。据我所知，它最初是由Ken Lang收集的，可能是为了他的Newsweeder:Learning To filter netnews paper，尽管他没有明确提到这一系列。20个新闻组集合已经成为机器学习技术（如文本分类和文本聚类）文本应用实验的流行数据集。

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