Sentiment analysis on social media content \| Team Mood Miners \| Smart India hackathon 20

Video title names a repeated sentiment feedback judgment: Sentiment analysis on social media content \| Team Mood Miners \| Smart India hackathon 2023

CA clean typed decision with low volume or low value, or too vague to act on.2.07

Key facts

Vertical
Cross-industry
Function
Social & creator
Status
Seen in the wild
Volume
occasional
Value
minor
Risk
low
Evidence
built and shown
Flags
None

Source: https://www.youtube.com/shorts/gxijuwe1g20

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 on social media content \\| Team Mood Miners \\| Smart India hackathon 20”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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