?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F3719%2F&rft.title=A+Large+Scale+Multi-label+Text+Classification+Methodusing+Z-Label+LDA&rft.creator=Nguyen%2C+Cam-Van+Thi&rft.subject=Information+Technology+(IT)&rft.description=Multi-label+Learning+(MLL)+is+a+supervised+learning+model+that+hasattracted+much+attention+of+the+research+community+in+recent+yearsbecause+of+its+wide+variety+applicability.+In+this+paper%2C+we+built+amulti-label+classification+model+using+Latent+Dirichlet+Allocationwith+Topic-in-set+Knowlegde+(z-Label+LDA)+on+the+Vietnamesedata+domain.+z-Label+LDA+is+a+variant+of+LDA+which+is+intended+toprovide+additional+supervised+information+as+a+hidden+topic+into+theLDA+called+%22z-label%22.+We+also+have+experimented+on+the+dataset+inthe+field+of+Education+collected+from+Vietnamese+online+newspapers.Parallel%2C+we+applied+the+hidden+topic+model+LDA+to+generate+aprior-knowledge+dataset+comprising+topics+and+typical+keywordsrepresenting+each+topic.+The+supervised+information+also+makesthe+topic+assignment+more+consistent.+With+this+approach%2C+theeffectiveness+of+the+model+has+been+demonstrated+experimentally%2Cthis+paper+has+obtained+initial+positive+results.&rft.publisher=UET-VNU&rft.date=2019&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F3719%2F1%2FA_Large_Scale_Multi_label_Text_Classification_Method_using_Z_Label_LDA.pdf&rft.identifier=++Nguyen%2C+Cam-Van+Thi++(2019)+A+Large+Scale+Multi-label+Text+Classification+Methodusing+Z-Label+LDA.++Technical+Report.+UET-VNU.++++(Submitted)++