Detecting Hate Speech on Social Media in the Algerian Dialect with NLP

Local Chapter Algiers, Algeria Chapter

Coordinated by Algeria ,

Lamia Sekkai

Project 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 plan.

  • Week 1

    Planning and preparation

  • Week 2

    Data collection

  • Week 3

    1) Data collection
    2) Annotation/ Building the dataset

  • Week 4

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

  • Week 5

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

  • Week 6

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

  • Week 7

    Model Deployment

  • Week 8

    Project Wrap up (project report and final presentation)

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