Text Mining Analysis of Patent in Innovation Studies: Trends, Issues and Future Research Agenda

Authors

  • Sufyan Sannah Gbolo School of Finance and Economics, Jiangsu University, Xuefu Road 301, Zhenjiang 212012, Jiangsu, China
  • Timothy Masuni Nagriwum School of Finance and Economics, Jiangsu University, Xuefu Road 301, Zhenjiang 212012, Jiangsu, China
  • Cecilia Aziza Dapilah Walden University, Minneapolis, Minnessota, 100 S Washinton Ave, MN 55401, USA
  • Adams Yunus School of Finance and Economics, Jiangsu University, Xuefu Road 301, Zhenjiang 212012, Jiangsu, China

DOI:

https://doi.org/10.54536/ajebi.v2i3.2087

Keywords:

Clustering, Innovation Studies, Patent, Systematic Literature Review, Text Mining

Abstract

Unpublished. Due to copyright Issues.

Downloads

Download data is not yet available.

Published

2023-10-18

How to Cite

Sufyan Gbolo, S., Nagriwum, T. M., Dapilah, C. A., & Yunus, A. (2023). Text Mining Analysis of Patent in Innovation Studies: Trends, Issues and Future Research Agenda. American Journal of Economics and Business Innovation, 2(3), 77–88. https://doi.org/10.54536/ajebi.v2i3.2087