Hands-on NLP with NLTK and Scikit-learn
Natural Language Processing with Python tools
Created by James Cross
Unlock the power of Python to turn unstructured text into valuable insights. You will learn to build practical NLP applications using NLTK and scikit-learn, focusing on real-world tasks like spam filtering, topic classification, and sentiment analysis. No heavy math, just clear explanations and hands-on projects.
Packt | Jul 2018 | 166 min
What You Will Learn
You will dive straight into coding, starting with a spam classifier and moving on to more advanced NLP projects. Each topic is explained in plain English, with step-by-step guidance and practical examples. The focus stays on building useful applications, not on complex theory or math.
Key Features
- Create NLP solutions for spam detection, topic classification, and sentiment analysis
- Apply core NLP techniques like tokenization, stemming, and stop word removal
- Use Python libraries NLTK and scikit-learn to process and analyze text data
Target Audience
Perfect for developers, data scientists, and programmers with Python experience who want to tackle real NLP challenges. If you have a project involving unstructured text or want to add NLP skills to your toolkit, you will benefit. Familiarity with basic machine learning concepts is recommended, but no prior NLP experience is needed.
