Python Natural Language Processing 📚
Welcome to the world of Natural Language Processing (NLP) using Python! 🐍 This guide will help you get started with NLP concepts, tools, and applications.
What is NLP? 🤔
NLP is a field of artificial intelligence focused on enabling computers to understand, interpret, and generate human language. It combines linguistics, computer science, and machine learning to process text and speech data.
python nlp
Popular Python Libraries for NLP 📦
- NLTK (Natural Language Toolkit) - For text processing and linguistic research
- spaCy - High-performance library for industrial-strength NLP
- Transformers by Hugging Face - Pre-trained models for tasks like text generation and translation
- TextBlob - Simplifies common NLP tasks such as sentiment analysis and part-of-speech tagging
spacy
Common NLP Tasks 🧠
- Tokenization - Splitting text into words, phrases, or punctuation
- Sentiment Analysis - Determining the emotional tone behind words
- Named Entity Recognition (NER) - Identifying entities like people, places, or organizations
- Text Summarization - Condensing long texts into concise summaries
text summarization
Learning Resources 📚
- Python Basics Tutorial - Strengthen your foundation before diving into NLP
- Hugging Face Transformers Docs - Explore pre-trained models for advanced NLP projects
- spaCy Cookbook - Practical examples for real-world NLP applications
nlp tasks