CLUO: WEB-SCALE TEXT MINING SYSTEM FOR OPEN SOURCE INTELLIGENCE PURPOSES

被引：4
|
作者：
Maciolek, Przemyslaw [1 ,2 ]
Dobrowolski, Grzegorz [2 ]
机构：
[1] Luminis Res Sp Zoo, Rzeszow, Poland
[2] AGH Univ Sci & Technol, Krakow, Poland
来源：
COMPUTER SCIENCE-AGH | 2013年 / 14卷 / 01期
关键词：
Text Mining; Big Data; OSINT; Natural Language Processing; monitoring;
D O I：
10.7494/csci.2013.14.1.45
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The amount of textual information published on the Internet is considered to be in billions of web pages, blog posts, comments, social media updates and others. Analyzing such quantities of data requires high level of distribution - both data and computing. This is especially true in case of complex algorithms, often used in text mining tasks. The paper presents a prototype implementation of CLUO - an Open Source Intelligence (OSINT) system, which extracts and analyzes significant quantities of openly available information.
引用
收藏
页码：45 / 62
页数：18
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