Text-mining Similarity Approximation Operators for Opinion Mining in BI tools

被引：0
|
作者：
Kaplanski, Pawel [1 ]
Rizun, Nina [1 ]
Taranenko, Yurii [2 ]
Seganti, Alessandro [3 ]
机构：
[1] Gdansk Univ Technol, Dept Appl Informat Management, Fac Econ & Management, Gdansk, Poland
[2] Alfred Nobel Univ, Dnipropetrovsk Dept Appl Linguist & Methods Teach, Dnepropetrovsk, Ukraine
[3] Cognitum, Warsaw, Poland
来源：
PROCEEDINGS OF THE 11TH SCIENTIFIC CONFERENCE INTERNET IN THE INFORMATION SOCIETY 2016 | 2016年
关键词：
Business Intelligence; NLP; Natural Language Interface Database; Natural Query Language; Controlled Natural Language; CNL; Latent Semantic Analysis; LSA; Social Network Analysis; SNA; Ontology;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The concept of the Text-mining Similarity Approximation Operators for Opinion Mining as extensions to Natural Language Interface Database is defined. The new operators: "keywords of" dimension; subsetting operator "about C is q"; aggregation operator "by similar C" are proposed. These operators are based on the Latent Semantic Analysis and Social Network Analysis.
引用
收藏
页码：121 / 140
页数：20
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