Espousal of a Sophisticated Text Classification Method Using the Laravel Framework
Malicious assaults on the vast susceptible devices like mobile have become more common as the Internet of Things has grown in popularity. Traditional framework design methods for web design result in significant limitations, time-consuming, and other issues. Web services have long been the industry standard for message communication and amalgamation across disparate systems. Based on the MVC model and Laravel, we offer a Machine Learning- based approach for extracting SPAM massages. To address these issues, this paper presents a web design and implementation method based on the Laravel framework. Laravel standardises the development process by automatically processing non-business logic relationships.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-05
- DOI
- https://doi.org/10.5281/zenodo.15340022
- Primary Topic
- Radioactive contamination and transfer
- Type
- article
- Field-Weighted Citation Impact
- 0.00