What makes a job post attractive?
October 6th at 2:55 PM ET – 3:25 PM ET
Hiring good people is one of the most important challenges for any business. The hiring process usually starts with a job advertisement.
At Swyg, we help companies make better hiring decisions, and understanding why candidates apply for jobs is an important part of that.
In this presentation, we’ll look beyond factors like location, industry and job function to see what language elements of a job post impact the number of applicants using NLP and machine learning approaches. We’ll also give some practical insights to help you write a better job post.
Inna WendellÂ
Data Scientist at FabFitFun
Inna Wendell is a Ph.D. candidate at the UCLA Slavic, East European, and Eurasian Languages and Cultures. Her research areas include applied linguistics, digital humanities, quantitative and qualitative formalism, text analysis, genre and style evolution, and classification.
In the past, Inna worked on the product recommendation and box optimization teams at FabFitFun. Currently, Inna is a contract Data Scientist at Swyg, the company which offers an innovative way to hire professionals.