Version 1
: Received: 9 November 2021 / Approved: 10 November 2021 / Online: 10 November 2021 (15:25:21 CET)
How to cite:
Yoo, Y.; Lim, D.; Kim, K. Patent Analysis Using Vector Space Model and Deep Learning Model : A Case of Artificial Intelligence Industry Technology. Preprints2021, 2021110208. https://doi.org/10.20944/preprints202111.0208.v1
Yoo, Y.; Lim, D.; Kim, K. Patent Analysis Using Vector Space Model and Deep Learning Model : A Case of Artificial Intelligence Industry Technology. Preprints 2021, 2021110208. https://doi.org/10.20944/preprints202111.0208.v1
Yoo, Y.; Lim, D.; Kim, K. Patent Analysis Using Vector Space Model and Deep Learning Model : A Case of Artificial Intelligence Industry Technology. Preprints2021, 2021110208. https://doi.org/10.20944/preprints202111.0208.v1
APA Style
Yoo, Y., Lim, D., & Kim, K. (2021). Patent Analysis Using Vector Space Model and Deep Learning Model : A Case of Artificial Intelligence Industry Technology. Preprints. https://doi.org/10.20944/preprints202111.0208.v1
Chicago/Turabian Style
Yoo, Y., Dongjin Lim and Kyungsun Kim. 2021 "Patent Analysis Using Vector Space Model and Deep Learning Model : A Case of Artificial Intelligence Industry Technology" Preprints. https://doi.org/10.20944/preprints202111.0208.v1
Abstract
Thanks to rapid development of artificial intelligence technology in recent years, the current artificial intelligence technology is contributing to many part 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 intelligence tutoring system that automatically assigns tutors based on student's level. In the field of economics, there are quantitative investment methods that automatically analyze large amounts of data to find investment laws to create investment models or predict changes in financial markets. As such, artificial intelligence technology is being used in various fields. So, it is very important to know exactly what factors have an important influence on each field of artificial intelligence technology and how the relationship between each field is connected. Therefore, it is necessary to analyze artificial intelligence technology in each field. In this paper, we analyze patent documents related to artificial intelligence technology. We propose a method for keyword analysis within factors using artificial intelligence patent data sets for artificial intelligence technology analysis. This is a model that relies on feature engineering based on deep learning model named KeyBERT, and using vector space model. A case study of collecting and analyzing artificial intelligence patent data was conducted to show how the proposed model can be applied to real-world problems.
Keywords
Technology analysis; Trend analysis; Patent keyword analysis; Text mining; Natural language processing
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.