Natural Language Generation System for Knowledge Acquisition Based on Patent Database

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Abstract

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.

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CITATION STYLE

APA

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

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