| Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
|---|---|---|
| Article Number | 03014 | |
| Number of page(s) | 5 | |
| Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202448603014 | |
| Published online | 07 February 2024 | |
Theme of Khmer document classification in the field of agriculture based on the use of Naïve Bayes method with keywords
1 Royal University of Phnom Penh, 110, Russian Federation Boulevard, Phnom Penh, Cambodia
2 Anton Chekhov Taganrog State Institute (branch) Rostov State University of Economics, 48, Iniciativnaya st., Taganrog, 347924, Russia
3 Taganrog Institute of Managament and Economics, 45, Petrovskaya st., Taganrog, 347905, Russia
4 Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don, 344006, Russia
* Corresponding author: idmitrieva2004@mail.ru
By the empower of the technology and the Internet, there are huge amount of electronic text documents becoming available from day to day. Seeking information in the field of agriculture numerous collection is required well organized documentations that could be automated using text classification. Naïve Bayes, one of the most popular classification methods, is conducted with many languages such as English and Thai in order to do the classification such as post classification, document classification with preferable accuracy. In this paper, we will apply the Naïve Bayes method with Khmer full text search to improve the search result and user preference.
© The Authors, published by EDP Sciences, 2024
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