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INVEX

Generative AI

Arabic Natural Language Processing

A specialised course in Arabic text analysis: normalisation, morphology, dialects and sentiment analysis.

IntermediateOnlineHybrid4.8(38)
3,200SAR
Start date
18 January 2027
Duration
4 days · 24 training hours
Seats
15 / 22

15 seats left

A one-minute introduction from the trainer

Added after the recording session

Your trainer

Dr. Hind Alamri
Arabic Language Processing

Researcher in Arabic computational linguistics who has built open Arabic datasets used by researchers across the region.

13 years of experience

Course outline

day by day

1

Day 1: Arabic computational characteristics

  • Normalisation and diacritics
  • Rich Arabic morphology
  • Arabic tokenisation tools
2

Day 2: Representation and classification

  • Arabic embedding models
  • Text classification
  • Sentiment analysis
3

Day 3: Dialects

  • Handling colloquial text
  • Dialect identification
  • Building dialectal data
4

Day 4: The project

  • A complete Arabic sentiment analyser
  • Evaluation on real data
  • Deployment

What will you build?

  • A sentiment analyser for Arabic comments
  • An Arabic text processing pipeline
  • An annotated dataset

Who is this course for?

  • Developers working with Arabic content
  • Computational linguistics researchers

And who it is not for

  • Anyone who does not know Python

Prerequisites

  • • Python basics
  • • Strong Arabic

Completion certificate

An accredited certificate with a QR verification code linking to your Thinkers Club profile.

INVEX

Accredited completion certificate

QR

The course includes

  • 24 training hours
  • Exclusive Arabic datasets
  • An accredited certificate

Trainee reviews

Finally, content that treats Arabic as a first-class language rather than an edge case.

Amal Alzahrani

Software Developer

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