Computational Linguistics Course
Master computational linguistics for tech: clean and parse noisy text, build robust NLP pipelines, design information extraction for user reviews, and evaluate models with real-world metrics to power smarter products and data-driven decisions.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This concise Computational Linguistics Course shows you how to collect and prepare real user reviews, normalize noisy short text, and build reliable NLP pipelines with tokenization, POS tagging, and dependency parsing. You will design information extraction for categories and opinion targets, apply solid evaluation metrics, run error analysis, and learn practical deployment tactics for accurate, scalable review understanding.
Elevify advantages
Develop skills
- Design NLP pipelines: build practical tagging, parsing, and IE flows fast.
- Prepare review corpora: collect, clean, and normalize real-world app feedback.
- Engineer IE systems: combine rules and ML to extract categories and opinions.
- Evaluate NLP models: apply F1, UAS/LAS, and significance tests with confidence.
- Debug and deploy: run error analysis and ship lightweight NLP to production.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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