Analisis Sentimen Gambar pada Media Sosial dengan Pendekatan Deep Learning

  • Ronaldito Juan Bantaras T Universitas Udayana
  • Made Agung Raharja Universitas Udayana

Abstract

Sentiment analysis of images on social media using a deep learning approach is an interesting research topic in the field of artificial intelligence. It involves data collection, training deep neural network models, testing and evaluation, and application and analysis on social media. The results of this analysis provide valuable insights to users in understanding user responses to content, detecting evolving sentiment trends, and providing important insights for business purposes and decision-making. Deep learning offers a strong and effective method for understanding emotional expressions within images shared on social media platforms.


Keywords: Sentiment analysis, image analysis, social media, deep learning

Published
2023-07-17
How to Cite
T, Ronaldito Juan Bantaras; RAHARJA, Made Agung. Analisis Sentimen Gambar pada Media Sosial dengan Pendekatan Deep Learning. Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 3, p. 951-960, july 2023. ISSN 3032-1948. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/102524>. Date accessed: 22 nov. 2024.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.