Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

From chaos to insight: Automatically derive value from your user-generated content

Stephanie Fischer (datanizing GmbH)
11:00am–11:30am Tuesday, 09/11/2018
Data-driven business management
Location: 1E 10 Level: Beginner

Who is this presentation for?

CxOs (Analytics, Data, Innovation, Technology), (Product) Managers, Trend Researchers, Community Manager, Publishers, Innovation Managers

Prerequisite knowledge

no special equipment needed.

What you'll learn

  • Know how machine learning can derive business value from user-generated content
  • get to know all the different steps of a text analytics project
  • get ideas about which potential text analytics offers for your own business
  • understand text analytics from a functional/strategic point of view

All knowledge and insights will be shared using the example of a famous New York discussion forum This talk aims to inspire you about how to derive data-driven insight from user-generated content.

Description

Whether customer e-mails, product reviews, company wikis or support communities – user-generated content (UGC) as a form of unstructured text is everywhere – and it’s growing exponentially. This stimulates the desire of many companies for an automated evaluation ("treasure hunt”). Similar techniques have been successfully used for structured information (data warehouses) for quite a while.

In contrast to structured data from e.g. sensors, weather etc., unstructured data like text needs more pre-processing steps in order to turn it into a treasurable source for trend monitoring, ideas to innovate and much more.
This talk will take you on a journey on how to discover meaningful insights from the UGC of a famous New York discussion forum. Using machine learning, we will find the most exciting topics hidden, follow emerging trends and identify outliers. Beautiful network graphs show which dynamics arise when users interact with each other. Combined with other interactive dashboard widgets, this allows visual exploration of the UGC.

Photo of Stephanie Fischer

Stephanie Fischer

datanizing GmbH

Stephanie Fischer has many years of consulting experience in big data, machine learning and human-centric innovation. As Product Owner, she develops services and products based on machine learning and content analytics. She is speaker at conferences, author of articles on Big Data/machine learning and founder of datanizing GmbH.

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