5335 days of Implementation Science: using natural language processing to examine publication trends and topics.

Journal: Implementation science : IS
Published Date:

Abstract

INTRODUCTION: Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to stay abreast of research literature. Natural language processing (NLP) methods are emerging as a valuable strategy for conducting content analyses of academic literature. We sought to apply NLP to identify publication trends in the journal Implementation Science, including key topic clusters and the distribution of topics over time. A parallel study objective was to demonstrate how NLP can be used in research synthesis.

Authors

  • Jonathan P Scaccia
    Dawn Chorus Group, 1014 Hartman Road, Reading, PA, 19606, USA. jon@dawnchrousgroup.com.
  • Victoria C Scott
    Department of Psychological Science, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC, 28223, USA.