Gal Hochma
Gal is a senior data scientist at PayPal, working mostly on NLP applications and NLP variable generation. She currently heads up construction of an internal NLP infrastructure to feed a wide variety of models in diverse domains like fraud detection, marketing, and Credit risk. Gal holds a BSc in Electrical Engineering and Physics as well as an MSc in Electrical engineering, all from Tel Aviv University. Before PayPal, Gal worked as a guidance and control algorithms engineer for aerospace systems and later as a data scientist on cyber applications.
Talks
Short Text in the Wild
While most of our online lives revolve around short texts, there's very little information on how to apply NLP techniques on such texts. In this talk, I'll share the lessons we learned and the methodology we developed when dealing with short texts.