bachelorThesis
PatenteGEN: uma solução baseada em aprendizagem profunda para geração de patentes
Date
2021-04-26Registration in:
SOUZA, Giovanna Severo de. PatenteGEN: uma solução baseada em aprendizagem profunda para geração de patentes. 2021. 26 f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2021.
Author
Souza, Giovanna Severo de
Institutions
Abstract
The advance of technology, the solutions and tools inventions, which directly affect the way
society lives and has been growing and developing, is linked to the human being’s capacity
to innovate and use creativity to solve problems. The protection of intellectual property
through the application of patents, not only guarantee the rights of inventors, but helps
structuring the expression of ideas and the knowledge application . This work approach
the development of a tool, to provoke insights and assist in the patents creation, through
generative models, with the OpenAI GPT-2 pre-trained model, using the public patent
base of United States Patents Trademark Office(USPTO) as a data source. The work is
structured in four steps: data collection, model training, creation of the web application
and analysis of the generated results