NLP Tutorials

Welcome to our collection of Natural Language Processing (NLP) tutorials! Whether you're a beginner or an experienced developer, these tutorials will help you understand and implement NLP in your projects.

Getting Started

• Understanding NLP: Learn the basics of NLP, including what it is, its applications, and its significance in the tech world.
• Text Preprocessing: Explore the steps involved in preparing text data for NLP tasks, such as tokenization, stemming, and lemmatization.

Practical Guides

• Sentiment Analysis: Understand how to perform sentiment analysis on text data using popular libraries like NLTK and TextBlob.
• Named Entity Recognition (NER): Learn how to identify and categorize named entities in text, such as people, places, and organizations.

Advanced Topics

• Machine Learning Models: Dive into the world of machine learning models used in NLP, including neural networks and transformers.
• Language Models: Explore the concept of language models and their applications in tasks like text generation and translation.

Resources

For more in-depth learning, check out our NLP course.

NLP in Action