Detecting Fake Job Postings Using NLP

This Omdena Local Chapter Challenge runs for 4 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 Antananarivo, Madagascar Chapter.

The problem

While looking for jobs, people run the risk of either falling for fake job postings where they would simply be exploited or scammed by the company, or they could also end up joining a company that doesn’t fully understand the job they’re posting for.

This project aims to allow people to glean from the job posting whether it is a fake job or also a true one that shouldn’t be trusted. It also has as a goal to identify the patterns of words perceived within these aforementioned job postings that should be avoided.

The goals

• Create a model to correctly identify the words that would represent a high risk of fake job postings.
• Create a model to classify a job posting as true and safe or not.
• Create a word cloud visualization to identify the most common words among fake job postings.

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