Computational Linguistics Course
4.6/5
This course teaches computational linguistics essentials: process noisy user reviews, create reliable NLP pipelines with tokenisation, POS tagging, and parsing, develop information extraction for opinions and categories, apply evaluation metrics like F1 and UAS/LAS, perform error analysis, and deploy practical systems for scalable text analysis in products.

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.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.

Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

André FelipePrompt Engineering Student
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