Author:
Selivanova I. V.,Kosyakov D. V.,Dubovitskii D. A.,Guskov A. E.
Reference63 articles.
1. Yu, B., An evaluation of text classification methods for literary study, Lit. Linguist. Comput., 2008, vol. 23, no. 3, pp. 327–343. https://doi.org/10.1093/llc/fqn015
2. Barakhnin, V.B., Kozhemyakina, O.Yu., Pastushkov, I.S., and Rychkova, E.V., Computer classification of russian poetic texts by genres and styles, Vestn. Novosib. Gos. Univ.,
Ser. Lingvist. Interkult. Commun., 2017, vol. 15, no. 3, pp. 13–23. https://doi.org/10.25205/1818-7935-2017-15-3-13-23
3. Automatic categorization of Ottoman literary texts by poet and time period;E.F. Can,2011
4. Oliveira, E. and Filho, D.B., Automatic classification of journalistic documents on the internet, Transinformação, 2017, vol. 29, no. 3, pp. 245–255. https://doi.org/10.1590/2318-08892017000300003
5. Hasan, M., Rundensteiner, E., and Agu, E., Emotex: Detecting emotions in Twitter messages, in ASE BIGDATA/SOCIALCOM/CYBERSECURITY Conf., Stanford,
2014, Stanford: Stanford Univ., 2014, pp. 27–31.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献