Machine-learning-based deep semantic analysis approach for forecasting new technology convergence

Volume: 157, Pages: 120095 - 120095
Published: Aug 1, 2020
Abstract
Technology convergence is extremely important for creating novel value and introducing new products and services. Recently, a fluctuating and competitive environment has prompted radical technology fusions. Although many frameworks were suggested for predicting convergence, it was not easy to forecast fusion between new technologies. To overcome this issue, we propose a machine-learning-based framework that uses semantic analysis along with...
Paper Details
Title
Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
Published Date
Aug 1, 2020
Volume
157
Pages
120095 - 120095
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.