ADS Drinks & Data: Text Analytics Meetup – Edition II
Amsterdam Data Science would like to invite you to our second edition of Drinks & Data: Text Analytics Meetup on Wednesday 4 December 2019 at 17:00. KPN will be providing an update on their project so far and we’ll hear pitches from Cloudflight (Catalysts) and Elsevier.
If your company is interested in contributing their own project for this Meetup, 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.
|16:45||Walk-in & Drinks
|17:00||Welcome & Introduction
by Gianluigi Bardelloni
Data Engineer/Scientist at KPN
|17:05||KPN Project Results from TAM – Edition I
by Yury Kashnitskiy
Data Scientist at KPN
|17:45||New Project Pitches
– Cloudflight (Catalysts): Multilingual Text Classification
– Elsevier: Natural Language Processing
|18:00||Parallel Project Workshop Sessions
– Cloudflight (Catalysts)
|18:40||Project Scope Presentations
|19:00||Drinks & Networking
Date: Wednesday 4 December 2019
Location: 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 email@example.com.