<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "o\tA new text semi-supervised multi-label learning model based on using the label-feature relations"^^ . "Multi-label learning has become popular and omnipresent in many real-world problems, especially in text classification applications, in which an instance could belong to different classes simultaneously. Due to these label constraints, there are some challenges occurring in building multi-label data. Semi-supervised learning is one possible approach to exploit abundantly unlabeled data for enhancing the classification performance with a small labeled dataset. In this paper, we propose a solution to select the most influential label based on using the relations among the labels and features to a semi-supervised multi-label classification algorithm on texts. Experiments on two datasets of Vietnamese reviews and English emails of Enron show the positive effects of the proposal."^^ . "2018-09-05" . . . . . . . . . . . . . . . . . . . . . . "Thanh Huyen"^^ . "Pham"^^ . "Thanh Huyen Pham"^^ . . "Van Quang"^^ . "Nguyen"^^ . "Van Quang Nguyen"^^ . . "Quang Thuy"^^ . "Ha"^^ . "Quang Thuy Ha"^^ . . "Tri Thanh"^^ . "Nguyen"^^ . "Tri Thanh Nguyen"^^ . . "Minh Chau"^^ . "Nguyen"^^ . "Minh Chau Nguyen"^^ . . "Thi Ngan"^^ . "Pham"^^ . "Thi Ngan Pham"^^ . . . . "10th International Conference on Computational Collective Intelligence (ICCCI 2018)"^^ . . . . . "Bristol, United Kingdom"^^ . . . . . "HTML Summary of #2960 \n\no\tA new text semi-supervised multi-label learning model based on using the label-feature relations\n\n" . "text/html" . . . "Information Technology (IT)"@en . .