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Natural Language Processing Course

Natural Language Processing Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in converting unstructured text data like customer reviews into valuable insights. Master text preprocessing, exploratory data analysis, sentiment analysis models, topic extraction techniques, and end-to-end NLP pipelines using Python libraries. Evaluate models effectively and deliver impactful recommendations to enhance products and customer satisfaction.

Elevify advantages

Develop skills

  • Master practical text cleaning by tokenising, normalising, and preparing reviews for efficient NLP processing.
  • Develop hands-on skills in feature extraction using TF-IDF, n-grams, and word embeddings for robust models.
  • Build and optimise sentiment analysis models to classify and interpret customer reviews accurately.
  • Apply topic modelling techniques like LDA, NMF, and clustering to uncover customer insights clearly.
  • Learn to generate concise reports transforming NLP results into strategic product improvement actions.

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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