Adoption of a Revised Text Classification Method Using the Laravel Framework
The prevalence of the Internet of Things has increased the frequency of malicious attacks on the many vulnerable devices, such as cellphones. Conventional framework design techniques for web design have a lot of limits, are time-consuming, and have other problems. The industry norm for message exchange and fusion between dissimilar systems has long been web services. We provide a machine learning-based strategy for extracting SPAM messages based on the MVC concept and Laravel. In order to solve these problems, this article offers a web design and implementation technique based on the Laravel framework. By automatically handling connections that lack business logic, Laravel standardises the development process.
Authors
- Rajeev Tripathi (ORCID: https://orcid.org/0000-0002-5929-095X)
Institutions
- Management Sciences (United States) (US)
Publication Details
- Journal
- International Journal of Computational and Applied Mathematics & Computer Science
- Published
- 2024-12-11
- DOI
- https://doi.org/10.37394/232028.2024.4.14
- Primary Topic
- Text and Document Classification Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00