Skip to content
Omdena

Local Chapter project

Classification of Social Media Content in Algerian Dialect Using NLP and Machine Learning

NLPDeep learning / Machine LearningLabelling
Start date
June 17, 2023
Finish date
July 28, 2023
Project status
completed
Classification of Social Media Content in Algerian Dialect Using NLP and Machine Learning

Challenge background

Social media platforms offer invaluable sources to collect real-world text content to build NLP Solutions which have become easier to build with the advances of language models. However, in countries where local dialects are commonly utilized on social media, NLP engineers encounter numerous obstacles engineers when it comes to develop language-based solutions. In such cases, customized models that handle these dialects are needed

Project timeline

  1. 1

    Week 1

    Planning and preparation

  2. 2

    Week 2

    Data collection

  3. 3

    Week 3

    1. Data collection
    2. Annotation/ Building the dataset
  4. 4

    Week 4

    1. Annotation/ Building the dataset
    2. Explore NLP State of Art with Algerian dialect
  5. 5

    Week 5

    1. Annotation/ Building the dataset
    2. Explore NLP State of Art with Algerian dialect
    3. Building Classifiers using different techniques
  6. 6

    Week 6

    1. Building Classifiers using different techniques
    2. Evaluate and compare the performances of the different models
  7. 7

    Week 7

    Model Deployment

  8. 8

    Week 8

    Project Wrap up (project report and final presentation)

What you'll learn

NLP, state of art of text classification of algerian dialect, practical experience on machine and deep learning

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.

This challenge is hosted by

Other Local Chapter projects