Predicting Impact of Biological Research Manuscripts

Metas Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript by the new Bibliometric Intelligence will allow researchers and publishers to pre-rank manuscripts efficiently, and to reduce the unnecessary painful submission waiting time. Success of this project will not only bring in business values to the partner organization, but also greatly benefit the research publication eco system.

Faculty Supervisor:

Eugene Fiume

Student:

Liu Yang

Partner:

Meta Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto