AI Text Sentiment Analysis SDK

The Text Sentiment Analysis SDK is a Python library that provides easy-to-use tools for analyzing the sentiment of text data. With this SDK, developers can perform sentiment analysis on text inputs, highlighting sentiments within sentences, calculating overall sentiment scores, and providing detailed sentiment counts.

Features

• Sentiment Analysis: Analyze the sentiment of text data.
• Highlight Sentiments: Highlight sentiments within sentences.
• Overall Sentiment Score: Calculate overall sentiment scores.
• Detailed Sentiment Counts: Provide detailed counts of different sentiment types.

Installation

You can install the SDK via pip:

pip install Text_sentiment_ai_sdk

Usage

from Text_sentiment_ai_sdk import SentimentAI

# Initialize the sentiment analysis client
client = SentimentAI()

# Example text to analyze
text = "This SDK is amazing! It makes sentiment analysis so easy."

# Perform sentiment analysis
result = client.analyze_text(text)

# Process the sentiment analysis result
if result:
    print("Sentiment:", result['sentiment'])
    print("Overall Sentiment Score:", result['overall_sentiment_score'])
    print("Sentiment Label:", result['sentiment_label'])
    print("Highlighted Text:")
    for sentence, sentiment in result['highlighted_text'].items():
        print(f"{sentence}: {sentiment}")

Contributing

Contributions are welcome! For major changes, please open an issue first to discuss what you would like to change.

License

MIT