Prospects for Big Text Data Application in Technology Maturity Assessment (Publications Review)

Prospects for Big Text Data Application in Technology Maturity Assessment (Publications Review)

연구 분야: Databases

학회: Automatic Documentation and Mathematical Linguistics

The paper analyzes the limitations of conventional methods for assessing the maturity of technology, such as the S-curve, technology readiness level (TRL), Gartner’s hype cycle and their dependence on experts’ opinions. Current approaches to this task based on big text data analysis and machine learning algorithms are reviewed, and their advantages are demonstrated. As a result of existing research systematization, the prospects of transition to automated technology maturity assessment using machine learning methods are revealed.