The methodology developed in this study can be used in various fields, including science, technology, medicine, social sciences, and more, and it offers an improved data science tool to allow the synthesis of the rapidly growing body of literature. Further research may be conducted to understand the life cycles of specific topics, to predict their evolution, and to develop effective methods for full text mining and analysis. We hope this work helps researchers utilize the wealth of scientific literature information to facilitate identification of emerging topics and to stimulate scientific breakthroughs.