This repository provides example code and libraries for the "Natural Language Processing in Action" book, focusing on building socially responsible NLP pipelines. It's targeted at NLP practitioners and developers looking to implement and experiment with various NLP techniques.

How It Works

The project offers a collection of Python modules and scripts that implement concepts discussed in the book. It leverages libraries like NLTK, spaCy, and scikit-learn for tasks such as text processing, sentiment analysis, and machine learning model building. The code is structured to facilitate learning and customization of NLP pipelines.

Quick Start & Requirements

• Installation: Clone the repository and install via conda (recommended) or pip.
  • conda env create -n nlpiaenv -f conda/environment.yml
  • conda activate nlpiaenv
  • pip install -e .
• Prerequisites: Anaconda3, Git, a bash shell. Python 3.x.
• Notes: Windows users may need to install C++ build tools for certain packages. Chatbot features might have compatibility issues on Windows due to pycrypto.
• Links: GitHub Repository

Highlighted Details

• Comprehensive examples covering various NLP tasks from the book.
• Includes utilities for glossary compilation, semantic search, and semantic spectrograms.
• Demonstrates building sequence-to-sequence translators and character-based universal sentence encoders.
• Community-driven development with opportunities for contribution.

Maintenance & Community

The project is community-driven, with contributions encouraged via GitHub issues.

Licensing & Compatibility

The repository does not explicitly state a license in the provided README.

Limitations & Caveats

Chatbot features may not be compatible with Windows due to installation issues with pycrypto. Some advanced features might require significant computational resources or specific datasets.