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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?

Learn to gather and preprocess user reviews, normalise short noisy text, construct NLP pipelines using tokenisation, POS tagging, and dependency parsing, create information extraction for categories and opinions, use evaluation metrics, conduct error analysis, and deploy efficient systems for accurate review analysis.

Elevify advantages

Develop skills

  • Design NLP pipelines for tagging, parsing, and information extraction.
  • Prepare review datasets by collecting, cleaning, and normalising user feedback.
  • Build information extraction systems using rules and machine learning.
  • Evaluate NLP models with F1 scores, UAS/LAS, and statistical tests.
  • Conduct error analysis and deploy scalable NLP solutions.

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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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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