Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Vol. 2 No. 3 (2023): September : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA

Analisis Sentimen Pengguna Youtube Mengenai Analog Switch Off Menggunakan Word Embedding Dan Metode Long Short-Term

Mochamad Suhri Ainur Rifky (Unknown)
Amalia Anjani Arifiyanti (Unknown)
Reisa Permatasari (Unknown)



Article Info

Publish Date
25 Jul 2023

Abstract

Analog Switch Off (ASO) or migration program from analog television to digital television is a program issued by the Ministry of Communication and Informatics in Indonesia. Some people provide different responses and opinions on YouTube comments about ASO. There are those who give positive or neutral comments. However, there were also those who gave negative comments. Sentiment analysis is a process that is carried out automatically in studying, retrieving, and processing textual data to obtain information and see responses or opinions about an issue or object towards positive, neutral or negative opinions. Thus sentiment analysis can be used as a reference in making organizational decisions, improving a service, or as a review of a product. Sentiment analysis was performed using word embedding with Word2Vec, and sentiment classification using the Long Short-Term Memory (LSTM) method. The results of the evaluation test are 92% accuracy, 92% precision, 92% recall, and 92% f1-score.

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Journal Info

Abbrev

jtmei

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Description

JTMEI merupakan jurnal ilmiah berkala dengan ciri khas/identitas bidang Teknik (Mekanik, Elektrikal, Industri, Informatika, Sipil dan Sains). Tema makalah ini difokuskan pada aplikasi industri baru, kelautan dan pengembangan energi hijau yang ...