Review Klasifikasi Berita Online
Main Article Content
Abstract
Data mining adalah subjek studi dan eksperimen. Dalam transaksi manual, mengklasifikasikan berita online selalu menjadi kendala. Pekerjaan yang disajikan di sini bertujuan untuk mengembangkan algoritma baru untuk mengkategorikan struktur dalam dari informasi rahasia yang penting. Dalam kasus saat ini, pekerjaan hanya dilakukan untuk mengidentifikasi kluster luar sistem, tetapi tidak ada pekerjaan yang dilakukan pada kumpulan dalam kumpulan data. Dalam tugas yang diusulkan ini, pengelompokan internal akan dibuat untuk setiap bidang dari sistem yang diusulkan, seperti olahraga dan hiburan
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Accepted 2021-08-09
Published 2021-09-29
References
Daniel I. Morariu, Lucian N. Vintan, and Volker Tresp,"Meta-Classification using SVM Classifiers for Text Documents,"World Academy of Science, Engineering and Technology 21 2006.
Hyeran Byun1 and Seong-Whan Lee2,"Applications of Support Vector Machines for Pattern Recognition: A Survey,"SVM 2002, LNCS 2388, pp. 213-236, 2002.
D. Morariu, R. Cre ̧tulescu and L. Vin ̧tan,"Improving a SVM Meta-classifier for Text Documents by using Naïve-Bayes,"Int. J. of Computers, Communications & Control, ISSN 1841-9836, E-ISSN 1841-9844.
Krishnalal G, S Babu Rengarajan, K G Srinivasagan ,"A new text mining approach based on HMM -SVM for web news classification,"International Journal of Computer Applications (0975 - 8887) Volume 1 – No. 19,2010.
Vandana Korde, C Namrata Mahender,"Text classification and classifier a survey," International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.2, March 2012.
Mita K. Dalal, Mukesh A.Zaveri,"Automatic text classification,"International Journal of Computer Applications (0975 – 8887) Volume 28– No.2, August 2011.
Rama Bharath Kumar, Bangari Shravan Kumar, Chandragiri Shiva Sai Prasad,"Financial news classification using SVM",International Journal of Scientific and Research Publications, Volume 2, Issue 3, March 2012 .
Chee-Hong Chan Aixin Sun Ee-Peng Lim,"Automated Online News Classifcation with Personalization,"4th international conference on asian digital libraries, Dec 2001.
Mr. S. P. Deshpande , Dr. V. M. Thakare,"data mining system and applications: a review,"International Journal of Distributed and Parallel systems (IJDPS) Vol.1, No.1, September 2010.