Trend analysis of the Brazilian scientific production in Information Science area: a text mining exploratory study
DOI:
https://doi.org/10.5380/atoz.v3i2.41341Keywords:
Trend analysis, Information science, social networksAbstract
Introduction: Trend analysis can be used as a strategy to identify subjects or research areas with potential of popularity which are not very widespread. This work consists of trend identification by text mining and historic analysis of the scientific productions (scientific papers) of the Information Science area PhD s. Method: This work, having an exploratory basis, was built in three steps. The first step was the data gathering of the curricula registered in Lattes platform. The second one consisted of automatic extraction of the most important terms inside the publications titles and, in the third step linear and nonlinear regression of the frequency based importance index of the extracted terms were executed. Results: Identified trends from the Information Science area for short, medium and long time were presented. Conclusions: This work presents and applies a trend identification method that can be seen as a first step considering all the potential of the national scientific production trend analysis. Moreover, trend analysis general information and the trends behavior over time were discussed.
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