【Purpose / significance】Form the perspective of topic tense, this paper constructs an identification method of scientific re⁃

search evolution based on topic tense, which can provide reference for researchers to accurately grasp the development path of the

field and scientific research innovation.【Method / process】A three-stage model of domain research evolution recognition based on top⁃ic temporal association is proposed. Firstly, the TF-IDF model is used to extract the feature words of the domain literature data set;secondly, the feature words are used as the mining conditions of the association rule algorithm to generate and filter the topic tense; fi⁃nally, according to the topic temporal association relationship and strength value, the visual Atlas of the topic temporal evolution path is constructed for the domain research evolution identification and analysis.【Result/conclusion】Taking the foreign scientific and Tech⁃nological Literature in the field of online review usefulness as the empirical research object, the topic temporal correlation evolution analysis was carried out to identify the development and evolution process of the main research fields, such as the usefulness of influ⁃encing factors, consumer willingness and application, research theory and technology, and usefulness ranking, which verified the effec⁃tiveness of the method model.【Innovation / limitation】It clearly describes the dynamic evolution process of topic formation, develop⁃ment and attention intensity in time series, which makes topic evolution context and relevance more readable. However, the sample da⁃ta does not achieve full coverage, and the overall situation analysis of field research is not comprehensive enough.