Wahyono, Irawan Dwi and Asfani, Khoirudin and Mohamad, Mohd Murtadha and Saryono, Djoko and Putranto, Hari and Said, Mohd Nihra Haruzuan Bin Mohamad (2021) Text Mining in Chat Room of Online Learning for Detection Emotion using Artificial Intelligence. 2021 International Conference on Computer Science, Information Technology, 2021.
Full text not available from this repository.Abstract
Now, in the Pandemic era, all people use online technology for all-purpose such as messenger application for all their activities. Text message is very fast to give respond but it is difficult to understand about felling or emotion people because in messenger cannot show their face. In online learning, teachers can send a text using a chat room with their students for learning but teachers cannot understand their student condition such as feelings or emotions. The problem that if students are bad emotion, they are very difficult to give them learning, especially in messenger's application, for example, chat room in online learning. The purpose of this research solves this problem by building a system that text documents in the chat rooms will process using an Artificial intelligence algorithm to know about the emotions of people in the chat room. The system uses 3 algorithms: naïve Bayes, fuzzy logic, and NPC. The system was built in existing online learning and embedded in the chat rooms in online learning. The result of testing of the system was 70% accuracy to determine the emotion-based in a text document in the chat room of online learning.
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Divisions: | Fakultas Sastra (FS) > Laporan Karya Ilmiah FS |
| Depositing User: | Users 2 not found. |
| Date Deposited: | 29 Apr 2021 06 |
| Last Modified: | 12 Apr 2023 01:15 |
| URI: | http://repository.um.ac.id/id/eprint/196723 |
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