caa a22 4500 605468419 CHVBK 20210128100316.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00500-014-1374-x doi (NATIONALLICENCE)springer-10.1007/s00500-014-1374-x Open-categorical text classification based on multi-LDA models [Elektronische Daten] [Ruiji Fu, Bing Qin, Ting Liu] We present a new and realistic problem, open-categorical text classification, which requires us to classify documents without the categorization system known beforehand. To solve this problem, we propose a novel approach to construct the categorization system and classify documents based on multi-latent Dirichlet allocation (LDA) models. We cluster topics and extract topical keywords to help category annotation. Subsequently, the LDA models are applied to predict the categories of documents comprehensively. Our result, a macro-averaged F1 measure of 84.02%, outperforms the state-of-the-art supervised and semi-supervised text classification methods. Springer-Verlag Berlin Heidelberg, 2014 Topic model nationallicence Text classification nationallicence Categorization system construction nationallicence Fu Ruiji Harbin Institute of Technology, 6th Floor, No.29, Jiaohua Street, Nangang District, 150001, Harbin, People's Republic of China aut Qin Bing Harbin Institute of Technology, 6th Floor, No.29, Jiaohua Street, Nangang District, 150001, Harbin, People's Republic of China aut Liu Ting Harbin Institute of Technology, 6th Floor, No.29, Jiaohua Street, Nangang District, 150001, Harbin, People's Republic of China aut Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 29-38 1432-7643 19:1<29 2015 19 500 https://doi.org/10.1007/s00500-014-1374-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1374-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fu Ruiji Harbin Institute of Technology, 6th Floor, No.29, Jiaohua Street, Nangang District, 150001, Harbin, People's Republic of China aut NATIONALLICENCE 700 1- Qin Bing Harbin Institute of Technology, 6th Floor, No.29, Jiaohua Street, Nangang District, 150001, Harbin, People's Republic of China aut NATIONALLICENCE 700 1- Liu Ting Harbin Institute of Technology, 6th Floor, No.29, Jiaohua Street, Nangang District, 150001, Harbin, People's Republic of China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 29-38 1432-7643 19:1<29 2015 19 500