Use Cases for Natural Language Processing (NLP)

Natural Language Processing (NLP) has profound value for businesses. It allows a company to gain insights and actions based on unstructured data (mostly text) that the business collects and with recent progress in NLP+ML combined with available computation power, companies can tackle problems that were impossible a decade ago.

In this session, Samuel Kožuch, a data scientist from Keboola will cover:

1. An introduction on the business value of NLP
2. NLP data structure (what you get from services, recommended business data model, ML training)
3. Examples from the wild with insights

** About our Speaker **
A self-described data nerd, Samuel Kožuch is a data scientist and engineer at Keboola, a data integration platform that connects data, systems and people to do their best work. He has a Masters of Science in Econometrics and Quantitative Economics where he utilised various NLP techniques, such as word and paragraph embeddings and emoji analysis, to identify products and predict prices based on the description. As a data scientist, he’s been applying his NLP skills in his everyday work life and staying up to date on advances in the NLP field.