Analyzing Data With BigQuery and Machine L...
Forecast the Dutch elections based on social media presence.
Wednesday the 15th of March 2017, was a big day for the Netherlands, at that day it was the Dutch general election, where the Dutch elected members of the house of representatives. The House of Representatives (the Second Chamber) is composed of 150 seats elected by proportional representation in a single nationwide constituency. There are 28 political parties, where the Dutch can vote the members from. Since I recently started working with Google Cloud Platform, I thought it would be a great idea, to predict the winning political party based on social media presence and sentiment. This idea is based on the blog post of Sara Robinson: Comparing tweets about Trump & Hillary with natural language processing.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google under their belt, they now hold the role of SWE Tech Lead at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and lately: the Definitive Guide to Conversational AI with Dialogflow and Google Cloud for Apress. And the Google Prompt Engineering whitepaper.
