Exploring and Analyzing Spam Messages: A Comprehensive Study Using Python, Natural Language Processing and Machine Learning Models
- Resource Type
- Conference
- Authors
- Bandzovic, Nedim; Pasic, Ajdin; Mehanovic, Dzelila; Dzelihodzic, Adnan
- Source
- 2024 28th International Conference on Information Technology (IT) Information Technology (IT), 2024 28th International Conference on. :1-5 Feb, 2024
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Training
Analytical models
Data analysis
Buildings
Psychology
Machine learning
Data models
spam
Python
Internet
natural language processing
machine learning models
- Language
- ISSN
- 2836-3744
This paper concentrates on the analysis of spam messages as well as processing them by using machine learning models. The result of this research allows the reader to learn about the most important characteristics of spam messages in the form of the most common pattern used, which may assist in their detection as well as prevention of any kind of loss that may occur.