Wahyono, Irawan Dwi and Asfani, Khoirudin and Mohamad, Mohd Murtadha and Saryono, Djoko and Putranto, Hari (2021) Detection Emotion using Artificial Intelligence based on Comment in Online Learning. 2021 Fourth International Conference on Vocational Education and Electrical, 2021.
Full text not available from this repository.Abstract
Many schools use online learning as media learning that all material of media such as videos, text, or audio can be given feedback from students. The teacher wants to know about students' emotions, such as happy, disappointed, or sad after they accessed the media, and teachers get an evaluation of quality from their media. This research built an application mobile for the detection of emotion from column comments in media online. The application uses artificial intelligence to classify text from feedback and to determine the emotion of students. The application runs on a mobile device. The algorithm in the application is k-Nearest Neighbor for the text mining function in this research. The data of testing in this research take comments in Y ouTube channels and online learning such as SIPEJAR. The testing result is that the average accuracy is 0,697 with a recall of 0.5595 and an average precision of 0,4421. Moreover, the accuracy for this mobile application is 70% for the detection of emotion-based comments in 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 01:08 |
| URI: | http://repository.um.ac.id/id/eprint/196725 |
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