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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, standardise noisy short text, and construct dependable NLP pipelines using tokenisation, POS tagging, and dependency parsing. You will create information extraction for categories and opinion targets, use strong evaluation measures, conduct error analysis, and grasp practical deployment strategies for precise, scalable review comprehension.

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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
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Great course. Lots of valuable information.
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