De Boelelaan 1105, 1081 HV Amsterdam, Netherlands

ADS Drinks & Data: Text Analytics Meetup – Edition III

This event has been postponed until further notice due to measures to prevent the spread of COVID-19.

Amsterdam Data Science would like to invite you to our third edition of Drinks & Data: Text Analytics Meetup.

KPN and VodafoneZiggo will be providing an update on their projects so far and we’ll hear new pitches from KPN and Cloudflight (Catalysts).

If your company is interested in contributing their own project for this Meetup series, please contact Giulia (details below). We will provide you with further information about how to participate.

The topics for this Meetup include Semi-Supervised/Active Learning, Sentiment Analysis, Interpretability, NLP & Classification, Data Labelling and Summarization. The final submitted projects will be showcased and the participants in the work-stream will jointly identify scope and logistics of their collaboration.


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14:45 Walk-in 
15:00 Welcome & Introduction
by Gianluigi Bardelloni
Data Engineer/Scientist at KPN
15:05 KPN Project Results from TAM – Edition I 
by Yury Kashnitskiy
Data Scientist at KPN
15:35 VodafoneZiggo Project Results from TAM – Edition II 
by Gabriel Lopez
Data Scientist at VodafoneZiggo
16:05 New Project Pitches
– KPN: Using Snorkel for automatic data labelling: A business perspective
– Cloudflight (Catalysts): Multilingual Text Classification
16:15 Parallel Project Workshop Sessions
– Cloudflight (Catalysts)
17:00 Project Scope Presentations
17:15 Drinks & Networking
17:45 End


Other details

Date: Wednesday 4 December 2019
Time: 15:00-17:45
Location: Room 14A33, Main Building, VU Amsterdam, De Boelelaan, Amsterdam


Registration is free but you must do so in advance through our Meetup page.
The event will be in English and is open to all.


Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.


We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please send an email to