ANALISIS SENTIMEN KEBIJAKAN PENYELENGGARA SISTEM ELEKTRONIK LINGKUP PRIVAT MENGGUNAKAN PENALIZED LOGISTIC REGRESSION DAN SUPPORT VECTOR MACHINE-Reference-Cited by-同舟云学术

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ANALISIS SENTIMEN KEBIJAKAN PENYELENGGARA SISTEM ELEKTRONIK LINGKUP PRIVAT MENGGUNAKAN PENALIZED LOGISTIC REGRESSION DAN SUPPORT VECTOR MACHINE

Published:2024-07-01 Issue:4 Volume:12 Page:560-569
ISSN:2339-2541
Container-title:Jurnal Gaussian
language:
Short-container-title:J.Gauss

Author:

Amalia Nur Afnita¹,Utami Iut Tri²,Wilandari Yuciana²

Affiliation:

1. Department of Statistics, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia

2. Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Tembalang, Semarang, Indonesia 50275, Indonesia

Publisher

Institute of Research and Community Services Diponegoro University (LPPM UNDIP)

Reference10 articles.

1. A Study on Sentiment Analysis Techniques of Twitter Data

2. Feature selection, L1 vs. L2 regularization, and rotational invariance

3. Inset lexicon: Evaluation of a word list for Indonesian sentiment analysis in microblogs

4. Sentiment Analysis and Opinion Mining

5. IMPLEMENTASI TWITTER SENTIMENT ANALYSIS UNTUK REVIEW FILM MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE

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