Applying Text Mining Technique on Innovation-Development Relationship: A Joint Research Agenda

Claudiu Cicea, Lefteris Tsoulfidis, Corina Marinescu, Ștefan Cătălin Popa, ALBU CATALINA FLORENTINA

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH · 2021 · 16 citations · 19 references

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Abstract

Throughout the time, innovation gained its place among factors influencing development. To identify the potential relationships between innovation and development and also the myriad of syntaxes related to their intersection in the literature, the authors create a joint research agenda by analyzing conclusive contents, based on the text mining technique. The research methodology follows three steps, including: selecting articles, creating the dictionary (with main categories and subcategories) and text mining which provides insights on frequencies of occurrence for dictionary categories, clusters formed among main discussed subjects, the existence of centroids within clusters and different types of ties among syntaxes. The main findings are grouped on three time intervals. The study's results are discussed according to four dimensions (time, economic, geographic, semantic) seen as different aspects that can help shaping an overview on research in innovation and development.

References

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