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

页码：121 / 140

页数：20

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