Privacy concerns at the individual and public or private organizational levels are a crucial. Its importance is highly evident nowadays, with the development of advanced technology. This study proposes a system for text mining that analyzes characteristics related to language. This factor makes it possible to generate a fictitious system while analyzing the patent within a bird's-eye view and presenting keywords to support an idea. By mapping each patent's information and relationship to an n-dimensional space, one can search for similar patents employing cosine similarity. Quantitative and qualitative evaluation verified the usefulness of the system.
Mendeley helps you to discover research relevant for your work.
CITATION STYLE
Rene, A. O. N., Okuhara, K., & Matsui, T. (2022). Natural Language Generation System for Knowledge Acquisition Based on Patent Database. Journal of Advanced Computational Intelligence and Intelligent Informatics, 26(2), 160–168. https://doi.org/10.20965/jaciii.2022.p0160