@MASTERSTHESIS{ 2021:254271657,
 	title = {Technological trajectory analysis in wind and solar energy from text mining techniques in patents and papers},
 	year = {2021},
 	url = "http://bibliotecatede.uninove.br/handle/tede/2580",
 	abstract = "Renewable energies have become relevant assets for many countries during the past
 years. More particularly, some research institutions and companies around the world have
 invested efforts and significant resources to foster scientific discoveries in various areas of
 renewable developments, two of the most important being wind and solar energy. Therefore,
 to determine if there is a connection between the studied energies or databases, the
 objective of this work is to present a technological trajectory analysis in wind and solar
 energy fields, using text-mining techniques to correlate the findings presented in granted
 patents and patent application documents from 2010 until 2019 and papers published by
 the IEEE Xplore Digital Library, considering the same period. The IEEE library has more
 than 5 million items and it considers itself the world’s largest technical professional organization
 dedicated to advancing technology for the benefit of humanity, and the World
 Intellectual Property Organization database has around 84 million patent documents.
 The present research has processed 68,064 patents documents for wind energy and 59,224
 patents documents for solar energy. Moreover, more than 13,158 papers have been processed
 for wind and solar energy during the aforementioned period. Both qualitative and
 quantitative methods were used to explore the findings and a literature review was done
 including the main text-mining fields, areas and tasks addressed by the authors in the
 state of the art. The Keyword search task was chosen and it was used in the abstracts and
 other textual information for both repositories. The results have shown not only scientific
 discoveries and technologies developed by researchers, inventors, Universities and patent
 applicants but also potential trends of the distinct stakeholders on each type of renewable
 energy. Thus indicating a relationship between the two energies and the database in the
 indicated period.",
 	publisher = {Universidade Nove de Julho},
 	scholl = {Programa de Pós-Graduação em Informática e Gestão do Conhecimento},
 	note = {Informática}
}