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Unpublished.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

Issue

Vol. 2 No. 3 (2023): American Journal of Economics and Business Innovation

Section

Research Articles

License

Copyright (c) 2023 Sufyan Sannah Gbolo, Timothy Masuni Nagriwum, Cecilia Aziza Dapilah, Adams Yunus

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Text Mining Analysis of Patent in Innovation Studies: Trends, Issues and Future Research Agenda. (2023). American Journal of Economics and Business Innovation, 2(3), 77-88. https://doi.org/10.54536/ajebi.v2i3.2087

Similar Articles

31-40 of 68

You may also start an advanced similarity search for this article.