This course covers the fundamentals of Natural Language Processing (NLP) in Python, focusing on installation, accessing text resources, generating word clouds, using WordNet, and applying stemming and lemmatization techniques. The course aims to teach students the basic skills and tools needed to work with text data for NLP tasks. The teaching method involves practical hands-on exercises and coding examples. This course is intended for beginners interested in learning NLP techniques using Python.
Overview
Syllabus
Natural Language Processing in Python: Part 1 -- Installation and Getting Started.
Natural Language Processing in Python: Part 2 -- Accessing Text Resources.
Natural Language Processing in Python: Part 3 -- Generating Word Clouds.
Natural Language Processing in Python: Part 4 -- WordNet.
Natural Language Processing in Python: Part 5 -- Stemming and Lemmatization.
Taught by
Lucid programming
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