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Computational Linguistics Course

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

What will I learn?

This short Computational Linguistics Course teaches you how to gather and ready real user reviews, tidy up messy short texts, and create dependable NLP pipelines using tokenization, POS tagging, and dependency parsing. You will craft information extraction for categories and opinion targets, use strong evaluation measures, carry out error analysis, and pick up useful deployment methods for precise, expandable review comprehension.

Elevify advantages

Develop skills

  • Design NLP pipelines: build practical tagging, parsing, and IE flows quickly.
  • 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.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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