Local Chapter Challenge Detecting Hateful and Offensive Language using NLP
  • The Statement

Detecting Hateful and Offensive Language using NLP

Challenge Started!

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by the Omdena Aswan, Egypt chapter.

The problem

We want to avoid the impacts of hate speech and fake news in our homes that would negatively affect our friends and families, especially children, as they are the most minor expert with technology. As a result, we would use our technology experience to tackle this problem and provide a safe environment for them.

 

The goals

  • Train datasets
  • Carry out data pre-processing
  • Develop a Machine learning model
  • Use NLP and advanced Machine Learning
  • Develop an API to be used by individuals

 

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

 

Read more on how Omdena´s Local Chapters work

 

This challenge is hosted with our friends at

First Omdena Local Chapter Challenge?

  • Beginner-friendly, but also welcomes experts

  • Education-focused

  • Open-source

  • Duration: 4 to 8 weeks

Learn more