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Google Cloud Natural Language API

The Google Cloud Natural Language API delivers sophisticated tools for text analysis, making it suitable for diverse applications in sentiment analysis, entity recognition, and content classification.

Developed by Google Cloud

View Source
99.99%Uptime
200msLatency
655Stars
API KeyAuth
NoCredit Card
RESTStyle
v1Version
API Endpoints

Reference for available routes, request structures, and live examples.

Analyzes sentiment of text documents

Full Endpoint URL
https://language.googleapis.com/documents:analyzeSentiment
Implementation Example
curl -X POST 'https://language.googleapis.com/documents:analyzeSentiment' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "document": {
    "type": "PLAIN_TEXT",
    "content": "I love this product! It's amazing."
  },
  "encodingType": "UTF8"
}
Expected Response
{
  "language": "en",
  "documentSentiment": {
    "score": 0.9,
    "magnitude": 1.2
  }
}
Version:v1
Limit:600 requests/minute
Real-World Applications
  • Analyze sentiment of customer reviewsOptimized Capability
  • Extract entities from news articlesOptimized Capability
  • Moderate and classify blog commentsOptimized Capability
  • Automate ticket triage in support systemsOptimized Capability
  • Tag and categorize documents for enterprise searchOptimized Capability
Advantages
  • ✓ Accurate and robust NLP features
  • ✓ Multi-language support
  • ✓ Scalable enterprise infrastructure
  • ✓ Easily integrates with Google Cloud ecosystem
  • ✓ Well-documented with client libraries
Limitations
  • ✗ Usage costs can increase with scale
  • ✗ Requires Google Cloud account setup
  • ✗ Limited to supported languages/models
  • ✗ Some latency due to cloud-based processing
  • ✗ Data privacy concerns for sensitive information

FAQs

API Specifications

v1
Pricing Model
Freemium, Pay-as-you-go
Credit Card
Not Required
Response Formats
JSON
Supported Languages
8 Languages
SDK Support
Python, Java, Node.js, Go
Time to Hello World

Under 30 minutes

Rate Limit

600 requests per minute per user

Free Tier Usage

First 5,000 units per month free. Sentiment, entity, and syntax analysis are all included.

Use Case: Best For

Teams needing scalable NLP for sentiment, entity recognition, and content analysis with minimal setup.

Not Recommended For

On-premises deployments or use cases requiring custom-trained NLP models.

Resources

Documentation Official Website Source Code Pricing Details Postman Collection
#nlp#machine learning

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