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Computational Linguistics Course

Computational Linguistics Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This concise Computational Linguistics Course teaches you how to gather and ready real user reviews, tidy up noisy short texts, and create solid NLP pipelines using tokenization, POS tagging, and dependency parsing. You will craft information extraction for categories and opinion targets, use strong evaluation metrics, carry out error analysis, and pick up practical deployment strategies for precise, scalable review comprehension.

Elevify advantages

Develop skills

  • Design NLP pipelines: build practical tagging, parsing, and IE flows quickly.
  • Prepare review corpora: gather, 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 confidently.
  • Debug and deploy: run error analysis and launch 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.
Workload: between 4 and 360 hours

What our students say

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The course was essential to meet the expectations of my boss and the company where I work.
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Very great course. Lots of rich information.
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