Lokasi: Social Media Text Classification by Enhancing Well-Formed Text Trained Model

Main Authors:	Jotikabukkana, Phat; School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani,, Sornlertlamvanich, Virach; School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani,, Manabu, Okumura; Tokyo Institute of Technology, Ookayama Campus, Ookayama Meguro-ku, Tokyo,, Haruechaiyasak, Choochart; National Electronics and Computer Technology Center, Thailand Science Park, Pathum Thani
Other Authors:	Thailand Advanced Institute of Science and Technology (TAIST), National Science and Technology Development Agency (NSTDA), Tokyo Institute of Technology, Sirindhorn International Institute of Technology (SIIT), Thammasat University (TU)
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	ITB Journal Publisher, LPPM ITB , 2016
Subjects:	online news semi-supervised learning social media text well-formed text Term Frequency-Inverse Document Frequency (TF-IDF) weighting Word Article Matrix (WAM)
Online Access:	http://journals.itb.ac.id/index.php/jictra/article/view/1879 http://journals.itb.ac.id/index.php/jictra/article/view/1879/1568 http://journals.itb.ac.id/index.php/jictra/article/downloadSuppFile/1879/371 http://journals.itb.ac.id/index.php/jictra/article/downloadSuppFile/1879/492 http://journals.itb.ac.id/index.php/jictra/article/downloadSuppFile/1879/595

Koleksi	Journal of ICT Research and Applications
Gedung	Perpustakaan Institut Teknologi Bandung
Institusi	Institut Teknologi Bandung
Kota	KOTA BANDUNG
Provinsi	JAWA BARAT
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