Full-Text Clustering Methods for Current Research Directions Detection *

The paper contains a brief overview of full-text clustering methods for current research directions detection. A novel full-text clustering method is proposed. A dataset is created and experimental results are verified by problem domain “Regenerative medicine” experts with PhD degrees. The proposed method is well applicable for research directions detection according to experimental results. Finally, prospects and drawbacks of the proposed method are discussed. * The research is supported by Russian Foundation for Basic Research, project �14 -29-05008-ofi_m