| Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
|
|
|---|---|---|
| Article Number | 02048 | |
| Number of page(s) | 5 | |
| Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202346502048 | |
| Published online | 18 December 2023 | |
Implementation of Machine Learning for Text Classification Using the Naive Bayes Algorithm in Academic Information Systems at Sebelas Maret University Indonesia
1 Electrical Engineering Dept. Sebelas Maret University Surakarta, Indonesia
2 Industrial Engineering Dept. Sebelas Maret University Surakarta, Indonesia
* Corresponding author: harishumaidi@student.uns.ac.id
† Corresponding author: sutrisno@staff.uns.ac.id
‡ Corresponding author: pringgo@staff.uns.ac.id
This study implements machine learning using the Naive Bayes algorithm to create a text classification in an engineering professional program information system. The methods used include text data collection, preprocessing, feature extraction, Naive Bayes model training, and evaluation using data testing. This study made a classification model to predict text categories with a test accuracy rate of 0.975 and a training accuracy of 0.967. This research contributes to the development of text classification in information systems and can be used as a basis for further study.
© The Authors, published by EDP Sciences, 2023
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