Visualization of Sentiment Analysis Results of Public Opinion on Indonesian Public Figures in Electronic Media and Social Media
- DOI
- 10.2991/978-94-6463-618-5_34How to use a DOI?
- Keywords
- Sentiment Analysis; Public Figures; Electronic Media; Social Media; Naive Bayes; Power BI; Data Visualization
- Abstract
This research aims to visualize public sentiment analysis towards Indonesian public figures on electronic media and social media platforms using Naive Bayes and Microsoft Power BI. The study involves several key steps, starting from data collection to visualization. Data from electronic media and social media are collected using web scraping techniques and converted into analyzable formats. Sentiment analysis is performed to categorize opinions into positive, neutral, and negative sentiments. The visualizations, created with Power BI, pro- vide interactive dashboards that allow users to explore the sentiment distribution over time and across different media. This tool is designed to help understand the public perception of key Indonesian figures and their influence on media.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mufadhil Hisyamul Ilmi AU - Yan Puspitarani PY - 2024 DA - 2024/12/29 TI - Visualization of Sentiment Analysis Results of Public Opinion on Indonesian Public Figures in Electronic Media and Social Media BT - Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024) PB - Atlantis Press SP - 316 EP - 324 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-618-5_34 DO - 10.2991/978-94-6463-618-5_34 ID - Ilmi2024 ER -