scholarly journals Text mining factor analysis (TFA) in green tea patent data

2017 ◽  
Author(s):  
Sela Rahmawati ◽  
Jadi Suprijadi ◽  
Zulhanif
Keyword(s):  
Factor Analysis ◽  
Text Mining ◽  
Green Tea ◽  
Patent Data

Equation Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Preprint)

2019 ◽  
Author(s):  
Ming Huang ◽  
Maryam Zolnoori ◽  
Joyce E Balls-Berry ◽  
Tabetha A Brockman ◽  
Christi A Patten ◽  
...  
Keyword(s):  
Text Mining ◽  
Disease Management ◽  
Technological Innovations ◽  
Patent Data

scholarly journals Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

10.2196/14678 ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. e14678
Author(s):  
Ming Huang ◽  
Maryam Zolnoori ◽  
Joyce E Balls-Berry ◽  
Tabetha A Brockman ◽  
Christi A Patten ◽  
...  
Keyword(s):  
Text Mining ◽  
Disease Management ◽  
Technological Innovations ◽  
Patent Data

scholarly journals Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis

2020 ◽  
Vol 12 (2) ◽  
pp. 505
Author(s):  
Sangsung Park ◽  
Sunghae Jun
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Bayesian Network ◽  
Network Modeling ◽  
Real Problem ◽  
Patent Data ◽  
Disaster Area ◽  
Proposed Model ◽  
Bayesian Network Modeling

At present, artificial intelligence (AI) contributes to most technological fields. AI has also been introduced in the disaster area to replace humans and contribute to the prevention of disasters and the minimization of damages. So, it is necessary to analyze disaster AI in order to effectively make use of it. In this paper, we analyze the patent documents related to disaster AI technology. We propose Bayesian network modeling and factor analysis for the technology analysis of disaster AI. This is based on probability distribution and graph theory. It is also a statistical model that depends on multivariate data analysis. In order to show how the proposed model can be applied to a real problem, we carried out a case study to collect and analyze the patent data related to disaster AI.

scholarly journals Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

10.2196/13316 ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. e13316 ◽  
Author(s):  
Ming Huang ◽  
Maryam Zolnoori ◽  
Joyce E Balls-Berry ◽  
Tabetha A Brockman ◽  
Christi A Patten ◽  
...  
Keyword(s):  
Text Mining ◽  
Disease Management ◽  
Technological Innovations ◽  
Patent Data
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