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Course Content
Module 1: Introduction
1. Introduction to NLP using NLTK
2. Environment Set Up
Module 2: Pre Processing Techniques
1. Tokenization
2. StopWords
3. Stemming
4. Lemmatization
Module 3: Advanced Pre Processing Techniques
1. Parts of Speech Tagging
2. Chunking- Part 1
3. Chunking- Part 2
4. Chinking
5. Named Entity Recognition
6. Wordnet- Part 1
7. Wordnet- Part 2
Module 4: Classification Algorithm
1. Text Classification- Part 1
2. Text Classification- Part 2
3. Word as a feature for Learning
4. Integrating Naive Bayes Classifier with NLTK
5. Pickling
6. Integrating Sci-Kit Classifier with NLTK- Part 1
7. Integrating Sci-Kit Classifier with NLTK- Part 2
Module 5: Capstone Project
1. Introduction (1)
2. Part- 1
3. Part- 2
4. Part- 3
Assessment Quiz