Supervised Text Classification
Artificial Intelligence · Further Education · Natural Language Processing
This unit introduces supervised text classification, a fundamental technique in natural language processing. Students will learn to train models to categorize text into predefined categories, enabling various applications such as spam filtering and sentiment analysis.
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Das gehört dazu
- Supervised Learning Concepts
- Text Preprocessing Techniques
- Feature Extraction Methods
- Classification Algorithms (e.g.
- Naive Bayes
- SVM
- Logistic Regression)
- Model Evaluation Metrics (e.g.
- Accuracy
- Precision
- Recall
- F1-score)
Stichworte
- Supervised Learning
- Text Classification
- Machine Learning
- Natural Language Processing
- Model Training
- Model Evaluation
- Spam Filtering
- Sentiment Analysis