Welcome to the section on Text Classification in our community forums. Here, we discuss various methods and tools used for classifying text, including natural language processing techniques.
Common Text Classification Tasks:
- Sentiment Analysis
- Spam Detection
- Topic Classification
- Named Entity Recognition
Tools and Libraries:
- Scikit-learn
- TensorFlow
- PyTorch
Use Cases:
- Improving customer support
- Personalized content recommendation
- Enhancing search functionality
For more in-depth information on text classification, check out our comprehensive guide on Text Classification Basics.
Here's an example of a text classification result:
- Input Text: "I love this product! It's amazing."
- Classification: Positive Sentiment
Sentiment Analysis
If you're looking to get started with text classification, consider exploring the Getting Started with Text Classification tutorial.