Natural Language Processing with Python
Master the NLTK library in Python from scratch!
Created by Tyler Edwards
Explore how computers can understand and process human language using Python and the NLTK library. You will learn practical techniques to clean, analyze, and extract meaning from text data, and build real-world NLP applications like sentiment analyzers. Gain hands-on experience with tools that reveal the structure and context of language.
Packt | Dec 2017 | 107 min
What You Will Learn
You will start by setting up NLTK and preparing text for analysis, then move on to techniques like tokenization, tagging, and semantic analysis. Through hands-on coding exercises, you will build applications that analyze sentiment and extract information from real text data. Each step builds your confidence and skill with practical NLP tasks.
Key Features
- Clean and prepare text data for analysis using Python and NLTK
- Build sentiment analysis tools to classify and interpret user reviews
- Apply semantic analysis to uncover meaning and relationships in text
Target Audience
Ideal for Python developers with basic programming experience who want to dive into Natural Language Processing. If you are looking to make your applications smarter by understanding and analyzing text, or aiming to start a career in AI and language technology, you will find these skills directly applicable to your goals.
