Comparative Analysis of Three Typical Text Mining Software
被引:0
作者:
You, Xiaguang
论文数: 0引用数: 0
h-index: 0
机构:
Zhengzhou Elect Power Coll, Elect Informat Dept, Zhengzhou 450000, Peoples R ChinaZhengzhou Elect Power Coll, Elect Informat Dept, Zhengzhou 450000, Peoples R China
You, Xiaguang
[1
]
机构:
[1] Zhengzhou Elect Power Coll, Elect Informat Dept, Zhengzhou 450000, Peoples R China
来源:
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFT COMPUTING IN INFORMATION COMMUNICATION TECHNOLOGY
|
2014年
关键词:
text mining;
SAS Text Mining;
VisualText;
TRS CKM;
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:
Based on brief introduction of the functions of three text mining software named as SAS Text Miner, VisualText, and TRS CKM, this paper comparatively analyses the three text mining software from three aspects of features embedded in data preparation, data analysis and result reporting. It is found that these software have their own characteristics and strengths.