Title: Leveraging Twitter analytics for the role of intellectual property in entrepreneurship

Authors: Cristina Blanco González-Tejero; Maria Teresa del Val Nuñez; Antonio García Blanco

Addresses: Department of Economics and Business Administration, University of Alcalá, Spain ' Department of Economics and Business Administration, University of Alcalá, Spain ' Department of Economics and Business Administration, University of Alcalá, Spain

Abstract: In today's fast-paced business world, the understanding of intellectual property (IP) and its impact on entrepreneurship is crucial. Twitter has emerged as a valuable source of big data analytics, providing valuable insights into market trends and consumer behaviour. This study explores the role of Twitter analytics in improving the role of IP in entrepreneurship, utilising advanced methods of natural language processing (NLP), including topic modelling, n-gram analysis, and sentiment analysis. The results of this study provide meaningful insights into the application of these methodologies for the evaluation of IP in the context of entrepreneurship and the potential of Twitter analytics to enhance the strategic planning and management of IP in business. This research provides a valuable resource for entrepreneurs, IP professionals, and researchers in the field of entrepreneurship, contributing to the ongoing discussions on the role of IP in entrepreneurship and the impact of social media on business strategy.

Keywords: intellectual property; entrepreneurship; Twitter analytics; social media mining; natural language processing; NLP.

DOI: 10.1504/IJIPM.2024.141549

International Journal of Intellectual Property Management, 2024 Vol.14 No.5, pp.485 - 501

Received: 12 May 2023
Accepted: 27 Jun 2023
Published online: 23 Sep 2024 *

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