Technology Trend Forecasting and Technology Opportunity Discovery Based on Text Mining: The Case of Refrigerated Container Technology

How to detect potential useful technical information hidden in patents and scientific papers is crucial for technology trend forecasting research opportunities. Using the text mining method extract helpful assisting strategic decision-making predicting tendency of technological development. This study proposes a framework combine patent analysis paper predict trends discover By information, we compared an reveal development trajectory future innovation First, extracted knowledge contained by mining. Then, cleaned coded data through natural language processing. We used Latent Dirichlet Allocation topic model cluster topics list multi-dimensional hierarchical structure diagram. analyzed results, combined them with expert knowledge, drew roadmap Finally, refrigerated container as example validation. Results showed that proposed this can directly comprehensively display opportunities verify effectiveness framework. The also provides effective reference inspiration research.