Lexicon and Naive Bayes Algorithms to Detect Mental Health Situations from Twitter Data
Background: Twitter is a popular social media where users express emotions, thoughts, and opinions that cannot be channelled in the real world. They do this by tweeting short, concise, and clear messages. Since users often express themselves, Twitter data can detect mental health trends. Objective...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Airlangga
2022-10-01
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| Series: | Journal of Information Systems Engineering and Business Intelligence |
| Online Access: | https://e-journal.unair.ac.id/JISEBI/article/view/37942 |