Natural Language Processing (NLP) tools are essential for tasks like text analysis, language modeling, and machine translation. Here are some key tools and frameworks commonly used in the field:
Popular NLP Tools 🛠️
Transformer
- A foundational model architecture for sequence modeling tasks.
BERT
- Pre-trained language model for understanding context in text.
spaCy
- Library for advanced NLP tasks like named entity recognition and dependency parsing.
NLTK
- Toolkit for working with human language data, including tokenization and sentiment analysis.
Use Cases 📊
- Sentiment analysis
- Chatbot development
- Text summarization
- Machine translation
For more tools or to explore projects, visit our NLP Project List.