Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Alexander Thomas

Alexander Thomas
Data Scientist, John Snow Labs

Alex Thomas is a data scientist at John Snow Labs. He’s used natural language processing (NLP) and machine learning with clinical data, identity data, and job data. He’s worked with Apache Spark since version 0.9 as well as with NLP libraries and frameworks including UIMA and OpenNLP.

Sessions

13:30–17:00 Tuesday, 30 April 2019
Natural language understanding at scale with Spark NLP
Data Science, Machine Learning & AI
 Location: Capital Suite 14
Secondary topics:  Deep Learning, Text and Language processing and analysis
Alexander Thomas (John Snow Labs), Claudiu Branzan (Accenture)
Average rating: ****.
(4.00, 4 ratings)
Alex Thomas and Claudiu Branzan lead a hands-on introduction to scalable NLP using the highly performant, highly scalable open source Spark NLP library. You’ll spend about half your time coding as you work through four sections, each with an end-to-end working code base that you can change and improve. Read more.
11:15–11:55 Wednesday, 1 May 2019
Spark NLP in action: How Indeed applies NLP to standardize résumé content at scale
Data Science, Machine Learning & AI
 Location: Capital Suite 14
Secondary topics:  Deep Learning, Media, Marketing, Advertising, Text and Language processing and analysis
Alexander Thomas (John Snow Labs), Alexis Yelton (Indeed)
Average rating: ****.
(4.67, 3 ratings)
Alexander Thomas and Alexis Yelton demonstrate how to use Spark NLP and Apache Spark to standardize semistructured text, illustrated by Indeed's standardization process for résumé content. Read more.