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Computational Linguistics Course

4.6/5
Computational Linguistics Course
4.6 in rating
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

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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