THE TEXT MINING TECHNIQUES APPLIED IN PATENT ANALYSIS

Authors

  • Luciano Wolski Universidade Federal de Santa Catarina
  • Português Português
  • Português Português
  • Português Português
  • José Leomar Todesco

DOI:

https://doi.org/10.48090/ciki.v1i1.925

Keywords:

text mining, PATENT ANALYSIS, patent mining, nanotechnology

Abstract

The high volume of patent data requires tools that can automate the endeavor in decision-making. This article apply text mining techniques and tools to extract and cluster terms related to nanotechnology from the US patent base USPTO, regarding 2019. The data collected were pre-processed, stored and indexed in order to use a search engine. Cluster analysis and visualization were also carried out. Thus contributing to elucidate the text mining process and exhibit the scope of the term nanotechnology on patent database.

 

Published

2020-11-18

How to Cite

Wolski, L., Artese, L., Gonçalves, A., Mattos, R., & Todesco, J. L. (2020). THE TEXT MINING TECHNIQUES APPLIED IN PATENT ANALYSIS. International Congress of Knowledge and Innovation - Ciki, 1(1). https://doi.org/10.48090/ciki.v1i1.925

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