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Computational Linguistics Course

Computational Linguistics Course
flexible workload of 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of rich information.
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