Mangambali, Hermawan Ali (2023) Analisa Sentimen Medis Menggunakan Media Sosial. (Medical Sentiment Analysis Using Social Media). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Social media has experienced rapid growth in various sectors, including the medical field. Active users actively participate in health communities, sharing information and experiences. Access to social media has become the primary means of seeking health information. Popular social media platforms used for this purpose include WhatsApp, Facebook, Instagram, Youtube, and Twitter. Social media also enables users to express their opinions through posts and comments. Sentiment analysis is necessary to understand user opinions. The initial stage involves collecting data from social media platforms such as Facebook, focusing on posts related to #disease. Subsequently, the text undergoes preprocessing, aiming to clean, format, and organize the text for analysis. In this study, the testing results using the Convolutional Neural Network algorithm obtained an average score of 76%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Sentiment Analysis, Sosial Media, Facebook, CNN |
| Subjects: | T Technology > TN Mining engineering. Metallurgy Z Bibliography. Library Science. Information Resources > ZA Information resources |
| Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
| Depositing User: | 1461900184 Hermawan Ali Mangambali |
| Date Deposited: | 10 Jul 2024 02:07 |
| Last Modified: | 10 Jul 2024 02:07 |
| URI: | http://repository.untag-sby.ac.id/id/eprint/31586 |
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