Overview and semantic issues of text mining

Details

Serval ID
serval:BIB_BC2D70CC458E
Type
Article: article from journal or magazin.
Collection
Publications
Title
Overview and semantic issues of text mining
Journal
ACM SIGMOD Record
Author(s)
Stavrianou A., Andritsos P., Nicoloyannis N.
ISSN
0163-5808
Publication state
Published
Issued date
01/09/2007
Peer-reviewed
Oui
Volume
36
Number
3
Pages
23
Language
english
Abstract
Text mining refers to the discovery of previously unknown knowledge that can be found in text collections. In recent years, the text mining field has received great attention due to the abundance of textual data. A researcher in this area is requested to cope with issues originating from the natural language particularities. This survey discusses such semantic issues along with the approaches and methodologies proposed in the existing literature. It covers syntactic matters, tokenization concerns and it focuses on the different text representation techniques, categorisation tasks and similarity measures suggested.
Keywords
Software, Information Systems
Create date
22/08/2017 10:42
Last modification date
20/08/2019 15:30
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