Finding correlative associations among news topics

被引：0
|
作者：
Montes-y-Gómez, M
López-López, A
Gelbukh, A
机构：
[1] IPN, Ctr Comp Res, CIC, Mexico City 07738, DF, Mexico
[2] INAOE, Puebla 72840, Mexico
来源：
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING | 2001年 / 2004卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for finding real-world associations between news topics (as distinguished from apparent associations caused by the constant size of the newspaper) is described. This is important for studying society interests.
引用
收藏
页码：524 / 526
页数：3
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