Welcome to the Natural Language Processing (NLP) tutorials section! Here, you'll find a curated list of resources to help you master NLP concepts and techniques. Whether you're a beginner or an advanced learner, these guides will provide valuable insights.
Key Topics Covered 📖
Introduction to NLP 🌐
Learn the basics of NLP and its applications in AI and data science.Text Preprocessing 🛠️
Explore tokenization, stemming, lemmatization, and stopword removal.Sentiment Analysis 😊😠
Understand how to analyze emotions in text using Python libraries like NLTK and spaCy.Named Entity Recognition (NER) 🧾
Discover techniques for identifying entities like people, organizations, and locations.Machine Learning in NLP 🤖
Dive into models for text classification, topic modeling, and sequence prediction.
Recommended Resources 🌐
- NLP Fundamentals Guide – A deeper dive into core NLP concepts.
- AI Overview – Explore how NLP fits into the broader AI landscape.
Practice Projects 🧪
- Build a chatbot using Hugging Face Transformers
- Create a sentiment analysis tool with Python Code Examples
Let me know if you'd like to explore a specific topic further! 😊