Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Overview of TextBlob features and architecture.
- Fundamentals of Natural Language Processing.
Getting Started
- Installing TextBlob.
- Importing libraries and data.
Building Text Classification Models
- Loading data and creating classifiers.
- Evaluating classifier performance.
- Updating classifiers with new data.
- Utilizing 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
- Foundational knowledge of NLP concepts.
- Proficiency in Python programming.
Audience
- Data scientists
- Developers
14 Hours
