Computational Linguistics Course
4.6/5
Dive into computational linguistics essentials: handle noisy texts from apps, construct dependable NLP pipelines with tagging and parsing, extract key info from reviews, assess performance using proven metrics, and deploy scalable tools to boost product intelligence and informed choices in tech environments.

4.6 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills in gathering and readying user reviews, cleaning messy short texts, and creating strong NLP systems using tokenization, POS tagging, and parsing. Craft extraction for categories and sentiments, use key metrics for assessment, analyse mistakes, and deploy effective solutions for precise review insights.
Elevify advantages
Develop skills
- Design efficient NLP pipelines for tagging, parsing, and extraction tasks.
- Prepare real-world review data by collecting, cleaning, and normalising feedback.
- Build information extraction systems blending rules and machine learning.
- Evaluate models with F1 scores, parsing metrics, and statistical tests.
- Conduct error analysis and deploy lightweight NLP solutions 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.What our students say
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