Technology Forecasting Based on Text Mining Patents and Cluster Analysis: Case Study Photovoltaic Technology

Subject Areas : Futurology

Zohre Bayanloo ¹ , Habib Zare Ahmadabadi ²

1 - Master of executive management , university of Yazd (Corresponding Author) [e-mail]
2 - Assistant professor in department of industrial management, university of Yazd

Received: 2017-05-24 Accepted : 2017-11-21 Published : 2018-01-21

Keywords: Text mining, Technology Forecasting, Two Step Cluster, photovoltaic, Patent,

Abstract :

Nowadays, solar energy has been utilized in various ways and photovoltaic technology is one of them. Photovoltaic phenomena is a phenomena in which solar energy  converts to the electrical energy “direct”. Shrinkage of fossil fuel resources as the current main source of energy, is one of the main concerns of today’s world. Because of the solar energy has attracted attentions as an alternative for fossil fuels recently. Technology forecasting has been defined as pre-realization of promising future technology progresses and assessment of its potential. Researchers use numerous methods to forecast technology and analysis of patent is one of them. In this article international patents, related to the area, which are registered in USPTO from 1985 to 2016 has been extracted. By implementation of text mining and two step clustering approach, it turns out that there is research gaps in this sector of technology which is not considered. As the result, research gaps and future research opportunities for researchers were identified and presented.