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Thanks to rapid development of artificial intelligence technology in recentyears, the current artificial intelligence technology is contributing to manypart of society. Education, environment, medical care, military, tourism,economy, politics, etc. are having a very large impact on society as a whole.For example, in the field of education, there is an artificial intelligencetutoring system that automatically assigns tutors based on student's level. Inthe field of economics, there are quantitative investment methods thatautomatically analyze large amounts of data to find investment laws to createinvestment models or predict changes in financial markets. As such, artificialintelligence technology is being used in various fields. So, it is veryimportant to know exactly what factors have an important influence on eachfield of artificial intelligence technology and how the relationship betweeneach field is connected. Therefore, it is necessary to analyze artificialintelligence technology in each field. In this paper, we analyze patentdocuments related to artificial intelligence technology. We propose a methodfor keyword analysis within factors using artificial intelligence patent datasets for artificial intelligence technology analysis. This is a model thatrelies on feature engineering based on deep learning model named KeyBERT, andusing vector space model. A case study of collecting and analyzing artificialintelligence patent data was conducted to show how the proposed model can beapplied to real world problems.

Artificial Intelligence Technology analysis using Artificial Intelligence patent through Deep Learning model and vector space model