Tagging provides a way to give a token of link to research publications which facilitates recommendation and search process. This paper proposes an auto-tagging methodology using Conditional Random Fields (CRF) for the precise extraction of authors and publication year from the research publications. This proposed system use auto-tagging methodology for research publication recommendations. This mechanism suggests a research publication based on the corresponding tags they have created. The system also generates various dynamic reports for graphical analysis of projects carried out in each research domain. These statistics benefits help users to get an overview of the trends of research works done over the past few years and ongoing researches in each department. The proposed system helps the students, faculty and other academicians to get involved in ongoing researches and also to obtain ideas in their respective research domain. It makes aware staffs and students with new inclinations in research publications.
A. R Das, Afsal, P. M., and Thushara M. G., “Tagging of Research Publications based on Author and Year Extraction”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, Bangalore, India, 2018.