From chaos to structure: How to derive insights from your user-generated content

Stephanie Fischer, datanizing

Users generate text all over the internet – 24 hours a day, 7 days a week. This text often contains complaints, wishes and clever ideas.

Using both unsupervised and supervised machine learning, we show you what insight can be derived from 100,000 user comments related to London. We will uncover the most exciting trends and sentiments with interactive visualisations.

Required audience experience


Objective of the talk

Afterwards the audience will know how machine learning can uncover meaningful insights from user-generated content for a specific use case. They’ll also understand how to scale this using Big Data infrastructure and evaluate content in real-time. The audience will learn how to generate business value from user-generated content and machine learning.
You can view Stephanie and Christian’s slides and presentation below:
Stephanie Fischer & Christian Winkler MCubed presentation

Track 2
Location: Euston Date: October 15, 2018 Time: 4:30 pm - 5:15 pm Stephanie Fischer, datanizing Stephanie Fischer, datanizing Christian Winkler, datanizing Christian Winkler, datanizing