20 News Groups Dataset(20个新闻组数据集)
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Objections: This dataset is too well known and is in fact used as the example dataset for the rainbow software documentation.
ຫໍສະໝຸດ Baidu
数据预览：
点此下载完整数据集
20 News Groups Dataset(20 个新闻组数据集)
数据摘要：
This is a well known data set for text classification, used mainly for training classifiers by using both labeled and unlabeled data (see references below). The data set is a collection of 20,000 messages, collected from UseNet postings over a period of several months in 1993. The data are divided almost evenly among 20 different UseNet discussion groups. Many of the categories fall into overlapping topics; for example 5 of them are about companies discussion groups and 3 of them discuss religion. Other topics included in News Groups are: politics, sports, sciences and miscellanious.
20 News Groups Dataset
Description: This is a well known data set for text classification, used mainly for training classifiers by using both labeled and unlabeled data (see references below). The data set is a collection of 20,000 messages, collected from UseNet postings over a period of several months in 1993. The data are divided almost evenly among 20 different UseNet discussion groups. Many of the categories fall into overlapping topics; for example 5 of them are about companies discussion groups and 3 of them discuss religion. Other topics included in News Groups are: politics, sports, sciences and miscellanious.
中文关键词：
数据挖掘,新闻,文本分类,交叉主题,
英文关键词：
Data mining,News,Text Classification,Overlapping topics,
数据格式：
TEXT
数据用途：
The data can be used for text classification.
数据详细介绍：
ຫໍສະໝຸດ Baidu
数据预览：
点此下载完整数据集
20 News Groups Dataset(20 个新闻组数据集)
数据摘要：
This is a well known data set for text classification, used mainly for training classifiers by using both labeled and unlabeled data (see references below). The data set is a collection of 20,000 messages, collected from UseNet postings over a period of several months in 1993. The data are divided almost evenly among 20 different UseNet discussion groups. Many of the categories fall into overlapping topics; for example 5 of them are about companies discussion groups and 3 of them discuss religion. Other topics included in News Groups are: politics, sports, sciences and miscellanious.
20 News Groups Dataset
Description: This is a well known data set for text classification, used mainly for training classifiers by using both labeled and unlabeled data (see references below). The data set is a collection of 20,000 messages, collected from UseNet postings over a period of several months in 1993. The data are divided almost evenly among 20 different UseNet discussion groups. Many of the categories fall into overlapping topics; for example 5 of them are about companies discussion groups and 3 of them discuss religion. Other topics included in News Groups are: politics, sports, sciences and miscellanious.
中文关键词：
数据挖掘,新闻,文本分类,交叉主题,
英文关键词：
Data mining,News,Text Classification,Overlapping topics,
数据格式：
TEXT
数据用途：
The data can be used for text classification.
数据详细介绍：