Operations (sample payloads)

Main operations
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Classify Text
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Classify some text based on a number of available categories

Sample Input

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{
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"text": "The new iPhone 14 Pro features a 48MP camera and Dynamic Island.",
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"categories": [
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"Technology",
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"Fashion",
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"Sports",
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"Politics"
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],
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"examples": [
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{
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"category": "Technology",
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"text": "The latest MacBook Air comes with the M2 chip for improved performance."
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},
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{
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"category": "Fashion",
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"text": "Gucci's new collection showcases bold colors and vintage-inspired designs."
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},
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{
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"category": "Sports",
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"text": "The Golden State Warriors won the NBA championship for the fourth time in eight years."
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},
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{
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"category": "Politics",
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"text": "The upcoming election will focus on economic policies and healthcare reform."
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}
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]
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}

Sample Output

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{
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"category": "Technology"
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}

Sentiment Analysis
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Perform sentiment analysis on text data.

Sample Input

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{
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"text": "I absolutely love this product! It's amazing and has improved my life significantly. However, the customer service could be better.",
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"language": "en"
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}

Sample Output

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{
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"sentiment": "MIXED",
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"score": {
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"positive": 0.75,
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"negative": 0.15,
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"neutral": 0.05,
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"mixed": 0.05
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}
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}