Welcome to the Natural Language Processing (NLP) course by Hidevs! This course covers fundamental concepts and practical techniques for working with text data using NLP tools and methods.
- Chapter 1 - Introduction to NLP
- Chapter 2 - Getting Started with NLTK (Natural Language Toolkit)
- Chapter 3 - NLP Basic Terminologies and Their Extraction
- Chapter 4 - Approaching NLP Problems
- Chapter 5 - Text Pre-processing
- Chapter 6 - Feature Engineering (Featurization) of Text Data
- Chapter 7 - Text Classification – Classifying the News Category
- Chapter 8 - Model Deployment
Introduction to the fundamentals of Natural Language Processing.
An introduction to the Natural Language Toolkit (NLTK) for Python.
Exploring basic terminologies used in NLP and techniques for their extraction.
Understanding different approaches to solving NLP problems.
Techniques for cleaning and preparing text data for NLP tasks.
Methods for creating features from text data to enhance NLP models.
Implementing text classification techniques to categorize news articles.
Strategies for deploying NLP models into production environments.
Feedback and contributions to this course are welcome. Feel free to submit issues or pull requests.
Happy Learning!