PAR-COM-TEX: Methodology for the extraction of relationships among terms of textual documents through association rules and clustering

• Grant number: 12/05794-2
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2012
• End date: May 31, 2013
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Veronica Oliveira de Carvalho
• Grantee: Juliana Fabre
• Host Institution: Instituto de Geociências e Ciências Exatas (IGCE). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil

Abstract

One of the problems related to the use of association rules refers to the number of patterns that are generated, which complicates the interpretation of the obtained rules. In order to overcome this problem, it was proposed in project FAPESP 2010/07879-0 the PAR-COM methodology. The methodology presents good results when applied to structured data. However, as a huge part of the information available today is textual, it is essential to develop techniques to manage such data.In this context, this project aims to develop the PAR-COM-TEX methodology, an adaptation of PAR-COM to the text mining context. PAR-COM-TEX will enable the extraction of relationships among terms of textual documents and their subsequent organization to support the users' decisions. PAR-COM-TEX may be used for various purposes such as to contribute to query expansion approaches in the context of information retrieval (IR). Since PAR-COM-TEX will be integrated into a major project, which targets to contribute to IR processes proposing "enriched" representations, this project also aims to integrate PAR-COM-TEX into an IR system, in order to facilitate, later, the evaluation of its possible applications in this context.