<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "A semi-supervised multi-label classification framework with feature reduction and enrichment"^^ . "Multi-label classification has drawn much attention thanks to its usefulness and omnipresence in real-world applications in which objects may be char-acterized by more than one label as in the traditional approach. Getting mul-ti-label examples is costly and time-consuming therefore semi-supervised learning approach should be considered to take advantages of both labeled and unlabeled data. In this work, we propose a semi-supervised multi-label classification algorithm exploiting the specific features of the prominent class label(s) chosen by a greedy approach as an extension of the LIFT algo-rithm, and unlabeled data consumption mechanism from the TESC algo-rithm. We also make a semi-supervised multi-label classification application framework for Vietnamese texts with several feature enrichment steps in-cluding a) a stage of enriching features by adding hidden topic features; b) a stage of dimensional reduction for subtracting irrelevant features. Experi-mental results on a dataset of hotel reviews (for tourism) indicate that a rea-sonable amount of unlabeled data helps to increase the F1 score. Interesting-ly, with a small amount of labeled data, our algorithm can reach a compara-tive performance to the case of using a larger amount of labeled data."^^ . "2017" . . "Journal of Information and Telecommunication"^^ . . . . . . . . . . . . . . . . . . . . "Van Quang"^^ . "Nguyen"^^ . "Van Quang Nguyen"^^ . . "Van Hien"^^ . "Tran"^^ . "Van Hien Tran"^^ . . "Quang Thuy"^^ . "Ha"^^ . "Quang Thuy Ha"^^ . . "Tri Thanh"^^ . "Nguyen"^^ . "Tri Thanh Nguyen"^^ . . "Thi Ngan"^^ . "Pham"^^ . "Thi Ngan Pham"^^ . . . . . "HTML Summary of #2504 \n\nA semi-supervised multi-label classification framework with feature reduction and enrichment\n\n" . "text/html" . . . "Information Technology (IT)"@en . .