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