Overview
Spam detection modeling is a critical area in computer science that focuses on identifying and filtering unwanted messages. By leveraging machine learning and natural language processing, systems can learn to distinguish between legitimate and spam messages, improving user experience and security. U...
Key Terms
Example: Promotional emails that you did not sign up for.
Example: Using past email data to predict if a new email is spam.
Example: Analyzing the sentiment of a message.
Example: Converting text into numerical vectors.
Example: Naive Bayes classifier for spam detection.
Example: Emails labeled as spam or not spam.
Related Topics
Data Mining
The process of discovering patterns in large datasets.
intermediateArtificial Intelligence
The simulation of human intelligence in machines.
advancedText Analytics
The process of deriving high-quality information from text.
intermediateDeep Learning
A subset of machine learning that uses neural networks.
advancedKey Concepts
Machine LearningNatural Language ProcessingFeature ExtractionClassification Algorithms