Majalah Ilmiah Teknologi Elektro
Vol 18 No 1 (2019): (Januari - April) Majalah Ilmiah Teknologi Elektro

Analisis Rating Sentimen pada Video di Media Sosial Youtube Menggunakan STRUCT-SVM

Kadek Ary Budi Permana (Univesitas Udayana)
Made Sudarma (Universitas Udayana)
Wayan Gede Ariastina (Universitas Udayana)

Article Info

Publish Date
06 May 2019

Abstract

Sentiment analysis on comments can be used to determine sentiment rating. The comments used are comments on Youtube. The type of video used is the official trailer video Indonesian movie. This paper contains steps to determine sentiment rating by notice the structure of comments. The structure of comments is needed because not all comments are relevant to the topic. Classes on comments are divided into seven classes including positive films, neutral films, negative films, positive not films, neutral not film, negative not film, and spam / off-topic. Comments that have a positive film or film negative class are used to determine sentiment rating. The number of likes in comments also determines the sentiment rating. Comment classification using STRUCT-SVM. The results of STRUCT-SVM show accuracy of 69.68% for linear kernels and 71.34% for RBF kernels.

Copyrights © 2019




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Majalah Ilmiah Teknologi Elektro
Website

Abbrev

mite

Publisher

Universitas Udayana

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Majalah Ilmiah Teknologi Elektro (MITE) is peer review journal, published twice a year by the Study Program of Magister Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include ...