Lunch lecture ING

In order to continously improve ING products and services, feedback from customers is key. In this talk, we will present an end-to-end machine learning approach to determine Twitter sentiment about ING, and subsequently correlate it to some important ING events.

In this lunch lecture, ING will have two Data Science and Analytics trainees, Wouter Swart & Veerle van den Akker speak about these topics. 

This lunch lecture will take place in Teams, the client of which can be downloaded at https://www.microsoft.com/nl-nl/microsoft-365/microsoft-teams/download-app. Alternatively, Teams can also be used from within Google Chrome. The link for the event: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ODcxNTUxYzUtOTU0NS00MDA0LTk5ZWQtZTJhMWIyMjg4YjY0%40thread.v2/0?context=%7b%22Tid%22%3a%22587b6ea1-3db9-4fe1-a9d7-85d4c64ce5cc%22%2c%22Oid%22%3a%22f72520d0-23e3-451d-b4f0-b479cec0cda0%22%7d

Please, when joining, set your name to your full name, so we can properly mark you as present here and in the Reflection & Vocational Orientation course!
Keep in mind: You do not need to be registered to attend the meeting, but it helps us get an estimation of how many people are joining and speeds up the process of marking who's present.

From 26 Jan, 2021, 12:15
Until 26 Jan, 2021, 13:15
Location Online
Organisers Partner Committee
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Online