Dynamic Flexible sentiment analysis - Text Generator API

Flexible sentiment analysis, changin classes of classifying text.

Example input

• I don't feel well today / SENTIMENTS: good, ok, bad / BEST MATCH: bad Hope everything is alright / SENTIMENTS: good, ok, bad / BEST MATCH: good lets go to the store / SENTIMENTS: sick, ok, travel / BEST MATCH: travel lets go fishing / SENTIMENTS: sick, stayput, travel / BEST MATCH: travel lets get a haircut / SENTIMENTS: good, ok, travel / BEST MATCH:

  I don't feel well today / SENTIMENTS: good, ok, bad / BEST MATCH: bad Hope everything is alright / SENTIMENTS: good, ok, bad / BEST MATCH: good lets go to the store / SENTIMENTS: sick, ok, travel / BEST MATCH: travel lets go fishing / SENTIMENTS: sick, stayput, travel / BEST MATCH: travel lets get a haircut / SENTIMENTS: good, ok, travel / BEST MATCH:

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Example real generated results

• star

  Based on your examples and standard sentiment analysis logic for daily activities like "getting rid of" or changing appearance (haircut), this activity requires leaving home. Therefore it aligns with **travel** rather than staying put ("stay") unless specifically requested as an exception in negative contexts you haven’t shown yet but implied by other patterns? Wait — let’s re-express clearly using only labels from previous lines’ output sets if consistent; actually looking at line1-3 outputs they used exact values given input

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