Text Mining Business Intelligence: A small sample of what words can say

Celia Satiko Ishikiriyama · Diego Miro · Carlos Francısco Sımões Gomes

53 citations0/0 files storedProcedia Computer Science

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Computational and Text Analysis Methods Advanced Text Analysis Techniques Technology and Data Analysis

Abstract

Business Intelligence (BI) has been an object of study for many researchers around the world. From collecting, treating and storing data, to systems solutions, database administration, and analysis techniques applied to various fields such as retail, call centers, financial institutions, and telecommunication. This paper aims to present a small sample of what is possible to achieve by analyzing text data from academic papers by using the software R-project. The methodology consisted of analyzing a sample of the top 35 most relevant papers regarding Business Intelligence, obtained through an academic search engine and offered the results of this text mining study.

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