spaCy
spaCy is an open-source Python library designed for advanced Natural Language Processing (NLP), enabling efficient processing and understanding of large text volumes. It supports applications like information extraction and deep learning pre-processing, while offering tools for interactive testing and visualization of syntactic structures, named entities, and custom token patterns.
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Top spaCy Features
- Open-source library for NLP
- Advanced text processing capabilities
- Interactive syntactic structure visualization
- Rule-based Matcher testing tool
- Named entity visualization
- Rapid model iteration with Prodigy
- Project templates for NLP workflows
- State-of-the-art transformer integration
- Lightweight command-line interfaces
- Visual Studio Code extensions
- Fast matrix-multiplication library
- Integration of LLMs in pipelines
- Contextually-keyed word vectors
- Document processing capabilities
- JupyterLab annotation extension
- Prodigy PDF annotation plugin
- Evaluation metrics for pipelines
- Hugging Face model training plugin
- Approximate nearest neighbor techniques
- Customizable Streamlit app building blocks.
