Abstract
Thousands of new publications appear every day in bibliometric databases, so the demand for document retrieval technology is growing. Bibliometrics makes it possible to perform a quantitative analysis of text publications; however, the problem of classifying complex videos with a high level of semantics remains unsolved. Meanwhile, short-form videos gain popularity and attract more researchers. Knowledge Graph seems to be a promising technology in this area. This technology makes it possible to modernize the information search infrastructure. The experiment involved 461 short-video studies. The material for the experiment was collected from the Chinese Social Sciences Citation Index (CSSCI) database. The bibliometric method was recognized as expedient for the analysis. The keyword mapping and clustering operations were performed using the CiteSpace software. The results demonstrate that short-form video research has been popular among Chinese scientists since 2017. Short-form video research focuses on five major topics, that is, development trends, modern media convergence, video production, visual content management, and short-form videos in the public sector. The present findings may be employed in future research to collect relevant samples with exact semantic relationships. The technology is not limited to specific applications and, therefore, may be useful in any field of research.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
