Lokasi: ANALISIS SENTIMEN PADA TWITTER MENGGUNAKAN METODE MAXIMUM ENTROPY DAN SUPPORT VECTOR MACHINE

Main Authors:	CINDO, MONA, Rini, Dian Palupi, Ermatita, Ermatita
Format:	Thesis NonPeerReviewed Book
Bahasa:	ind
Terbitan:	, 2019
Subjects:	P98-98.5 Computational linguistics. Natural language processing T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Online Access:	http://repository.unsri.ac.id/6272/2/RAMA_55101_09042681721006_0023027804_001309670_01_front_ref.pdf http://repository.unsri.ac.id/6272/3/RAMA_55101_09042681721006_0023027804_001309670_02.pdf http://repository.unsri.ac.id/6272/4/RAMA_55101_09042681721006_0023027804_001309670_03.pdf http://repository.unsri.ac.id/6272/5/RAMA_55101_09042681721006_0023027804_001309670_05.pdf http://repository.unsri.ac.id/6272/6/RAMA_55101_09042681721006_0023027804_001309670_04.pdf http://repository.unsri.ac.id/6272/7/RAMA_55101_09042681721006_0023027804_001309670_06_ref.pdf http://repository.unsri.ac.id/6272/8/RAMA_55101.pdf http://repository.unsri.ac.id/6272/9/RAMA_55101_TURNITIN.pdf http://repository.unsri.ac.id/6272/10/RAMA_55101_09042681721006_0023027804_001309670_07.pdf http://repository.unsri.ac.id/6272/

Koleksi	Sriwijaya University Institutional Repository
Gedung	UPT Perpustakaan Universitas Sriwijaya
Institusi	Universitas Sriwijaya
Kota	OGAN ILIR
Provinsi	SUMATERA SELATAN
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