Text mining and semantics: a systematic mapping study

As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semanti...

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Vydáno v:Journal of the Brazilian Computer Society Ročník 23; číslo 1; s. 1 - 20
Hlavní autoři: Sinoara, Roberta Akemi, Antunes, João, Rezende, Solange Oliveira
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Springer London 01.12.2017
Sociedade Brasileira de Computação
Témata:
ISSN:0104-6500, 1678-4804
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Abstract As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem.
AbstractList As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem.
Abstract As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem.
ArticleNumber 9
Author Rezende, Solange Oliveira
Antunes, João
Sinoara, Roberta Akemi
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Snippet As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of...
Abstract As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a...
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SubjectTerms Computer Science
Computer System Implementation
Data mining
Data Structures
Digital mapping
End users
Operating Systems
Semantics
Simulation and Modeling
Studies
Systematic review
Text mining
Text semantics
Texts
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Title Text mining and semantics: a systematic mapping study
URI https://link.springer.com/article/10.1186/s13173-017-0058-7
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