CoreML – Twitter sentiment analysis

Today a post about the new Apple framework – CoreML – a machine learning framework to use your trained data-model inside iOS apps.

https://developer.apple.com/machine-learning/core-ml/

Documentation: https://developer.apple.com/documentation/coreml


The example of today is about machine learning to identify the mood of a collection of tweets (#apple, @apple, #covid-19, #love, etc…).

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Is really urgent?

Lots of people receive daily email, often an answer or a task must be completed URGENT, ASAP or EOD, etc…

These keywords sometimes generate anxiety or destroy daily mood.

Common examples:

  • I need your spreadsheet ASAP
  • URGENT: Have you voted yet?
  • RSVP: Need your answer by EOD

Today I want to present a funny Google-Chrome plugin to change the priority of your emails!

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