Sentiment analysis(Text Classification) using CoreML & CreateML in Xcode 15 and IOS17(Demo

Video title names a repeated sentiment feedback judgment: Sentiment analysis(Text Classification) using CoreML & CreateML in Xcode 15 and IOS17(Demo)

CA clean typed decision with low volume or low value, or too vague to act on.1.43

Key facts

Vertical
Software & tech
Function
Agents & dev
Status
Seen in the wild
Volume
one-off
Value
minor
Risk
low
Evidence
built and shown
Flags
None

Source: https://www.youtube.com/shorts/Z-TBuwxWBn0

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Sentiment analysis(Text Classification) using CoreML & CreateML in Xcode 15 and IOS17(Demo”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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