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Abstract
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
Authors (4)
-
Yurii Taranenko professor
- Alfred Nobel University, Dnipro, Ukraine Department of Applied Linguistics and Methods of Teaching Foreign Languages
-
Seganti Alessandro dr
- . .
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- Accepted or Published Version
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- Copyright (University of Dąbrowa Górnicza 2016)
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Proceeding of the 11th Scientific Congerence "Internet in the Information Society-2016" strony 121 - 141
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Rizun N., Kapłański P., Yurii T., Alessandro S..: Text-mining Similarity Approximation Operators for Opinion Mining in BI tools, W: Proceeding of the 11th Scientific Congerence "Internet in the Information Society-2016", 2016, University of Dąbrowa Górnicza,.
- Verified by:
- Gdańsk University of Technology
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