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Course Outline
Introduction
- Overview of TextBlob features and architecture
- NLP fundamentals
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
- Tokenization
- WordNet integration
- Noun phrase extraction
- Part-of-speech tagging
- Sentiment analysis
- Spelling correction
- Translation and language detection
APIs and Advanced Implementations
- Sentiment analyzers
- Tokenizers
- Noun phrase chunkers
- POS taggers
- Parsers
- Blobber
Troubleshooting
Summary and Next Steps
Requirements
- An understanding of NLP concepts
- Python programming experience
Audience
- Data scientists
- Developers
14 Hours
Testimonials (4)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
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