Natural Language Generation System for Knowledge Acquisition Based on Patent Database

抄録

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.