End-to-end NLP models to get insights from the employee feedbacks continuously – Büşra Çıkla, ING

Session Outline

Natural Language Processing (NLP), an ever-growing interest area in the analytics community, creates big impacts on HR/People Analytics domain. It enables transformation of unstructured data into valuable insights with greater operational speed and accuracy to support organizational decision mechanism. During my talk, I will address NLP use cases in HR field and how to build end-to-end NLP models (topic and sentiment model) on survey data to get insights from the employee feedbacks continuously by touching on each stage of model life cycle.

Key Takeaways