Abstract: 【Purpose/significance】Identifying and tracking the evolution of technical topics is an effective means of monitoring techno⁃ logical innovation trends. Utilizing quantitative methods to identify the technical themes of government-funded enterprise product de⁃ velopment research projects can provide decision-making support for guiding corporate technological innovation. It also offers theoreti⁃ cal and practical foundations for researchers in the biotechnology field to select research topics.【Method/process】This study explores a framework for technology theme identification and evolution analysis by integrating the BERTopic static topic model with the DTM dynamic topic model. First, the BERTopic static topic model is constructed to identify technological themes, using visualization meth⁃ ods to analyze the similarity of these themes. Next, a time window is established within the corpus to apply the DTM dynamic topic model, which analyzes the evolutionary trends of technological themes across different time windows. Finally, a statistical analysis is conducted to examine the government's attention to different technological themes and their future research intensity【. Results/conclu⁃ sion】Using the proposed research framework, the top ten technological themes in the biotechnology field funded by the U.S. govern⁃ ment were identified, and a long-term trend analysis of their technological evolution was conducted【. Innovation/limitation】The study innovatively integrates the BERTopic model to identify technology themes in government-funded enterprise product development re⁃ search project data. The study’s limitation lies in its reliance on a single data source, and future research aims to optimize the frame⁃ work from multi-source and multi-modal data perspectives.