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Course Outline
Introduction
- Overview of TextBlob features and architecture
- Fundamentals of NLP
Getting Started
- Installing TextBlob
- Importing libraries and data
Building Text Classification Models
- Loading data and creating classifiers
- Evaluating classifiers
- Updating classifiers with new data
- Using feature extractors
Performing NLP Tasks using TextBlob
- Tokenisation
- WordNet integration
- Noun phrase extraction
- Part-of-speech tagging
- Sentiment analysis
- Spelling correction
- Translation and language detection
APIs and Advanced Implementations
- Sentiment analyzers
- Tokenisers
- Noun phrase chunkers
- POS taggers
- Parsers
- Blobber
Troubleshooting
Summary and Next Steps
Requirements
- A foundational understanding of NLP concepts
- Experience with Python programming
Audience
- Data scientists
- Developers
14 Hours
