Technology Opportunity Analysis Based on Machine Learning

The sustainable growth of a company requires differentiated research and development strategy through the discovery technology opportunities. However, previous studies fell short need for utilizing outlier keywords, based on approaches from various perspectives, to discover In this study, opportunity method keywords is proposed. First, collected patent data are divided into several subsets, derived using W2V LOF. clustered K-means algorithm. Finally, similarity between clusters evaluated determine cluster with most as potential technology. 5679 cases unmanned aerial vehicle (UAV) were utilized, which three opportunities derived: UAV defense technology, charging station measurement precision improvement proposed will contribute discovering fields in advance technologies semantic differences meaning words considered application.