Characterising text mining: a systematic mapping review of the Portuguese language

Author:

Souza Ellen12,Costa Danilo1,Castro Dayvid W.1,Vitório Douglas1,Teles Ingryd1,Almeida Rafaela1,Alves Tiago1,Oliveira Adriano L.I.2,Gusmão Cristine3

Affiliation:

1. MiningBR Research Group Federal Rural University of Pernambuco (UFRPE) Serra Talhada Brazil

2. Centre of Informatics Federal University of Pernambuco, (CIn-UFPE) Recife Brazil

3. Centre of Technology and Geoscience Federal University of Pernambuco (CTG-UFPE) Recife Brazil

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Reference31 articles.

1. Text mining and software engineering: an integrated source code and document analysis approach;Witte R.;IET Softw.,2008

2. Seeding the survey and analysis of research literature with text mining

3. Tourism analytics with massive user-generated content: a case study of Barcelona;Marine-Roig E.;J. Destination Mark. Manage.,2015

4. ‘Twitter Official Webpage’ 2016. Available athttps://about.twitter.com/company Accessed: March 2016

5. A brief survey of text mining;Hotho A.;LDV Forum – GLDV J. Comput. Linguist. Lang. Technol.,2005

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