marlo-sentiment 1.0.3

Python client for Marlo sentiment analysis API

marlo-sentiment

Python client for the Marlo sentiment analysis API with industry-specific intelligence.

Installation

pip install marlo-sentiment

Usage

Basic Usage

from marlo_sentiment import MarloClient

client = MarloClient(api_key='your-rapidapi-key')

# Analyze text sentiment
result = client.analyze('I love this product!')
print(result)
# {
#     'sentiment': 'positive',
#     'confidence': 0.9162,
#     'scores': {
#         'positive': 0.647,
#         'neutral': 0.353,
#         'negative': 0.0,
#         'compound': 0.9162
#     },
#     'text_length': 20
# }

Industry-Specific Analysis

# Healthcare context
healthcare_result = client.analyze(
    'Strong medication led to successful treatment',
    industry='healthcare'
)

# Gaming context  
gaming_result = client.analyze(
    'Epic gameplay but pay-to-win ruins it',
    industry='gaming'
)

# Technology context
tech_result = client.analyze(
    'Memory leak in the application',
    industry='technology'
)

Batch Analysis

texts = [
    'Great customer service!',
    'Product arrived damaged', 
    'Fast shipping, excellent quality'
]

results = client.batch_analyze(texts, industry='retail')

Supported Industries

industries = client.get_supported_industries()
print(industries)
# ['healthcare', 'technology', 'gaming', 'finance', 'restaurant',
#  'automotive', 'real_estate', 'fitness', 'education', 'retail']

Configuration

Using Configuration Dict

from marlo_sentiment import MarloClient

client = MarloClient({
    'api_key': 'your-rapidapi-key',
    'base_url': 'https://custom-endpoint.com',  # optional
    'timeout': 5.0  # optional, default 10.0 seconds
})

Using API Key String

client = MarloClient('your-rapidapi-key')

Error Handling

from marlo_sentiment import MarloClient, MarloError, MarloValidationError

try:
    result = client.analyze('')
except MarloValidationError as e:
    print(f"Validation error: {e}")
except MarloError as e:
    print(f"API error {e.status_code}: {e.message}")

Context Manager Support

with MarloClient('your-api-key') as client:
    result = client.analyze('Great service!')
    print(result.sentiment)

Type Hints

Full type hint support:

from marlo_sentiment import MarloClient, SentimentResponse, Industry

client = MarloClient('your-key')
result: SentimentResponse = client.analyze('text', industry='healthcare')

Requirements

• Python 3.8+
• requests >= 2.28.0

Development

Install Development Dependencies

pip install -e ".[dev]"

Run Tests

pytest

Code Formatting

black src/
isort src/

Type Checking

mypy src/

Resources

• Marlo API Documentation - Complete API guide and examples
• PyPI Package - Install via pip
• GitHub Repository - Source code and issues
• Support - Get help and contact support

License

MIT