Sentimatrix

import asyncio
from sentimatrix import Sentimatrix

async def main():
    async with Sentimatrix() as sm:
        # Analyze sentiment
        result = await sm.analyze("This product exceeded my expectations!")
        print(f"Sentiment: {result.sentiment}")  # positive
        print(f"Confidence: {result.confidence:.2%}")  # 94.32%

        # Detect emotions
        emotions = await sm.detect_emotions("I'm thrilled about this purchase!")
        print(f"Primary: {emotions.primary}")  # joy
        print(f"All: {emotions.scores}")  # {'joy': 0.89, 'surprise': 0.12, ...}

asyncio.run(main())

import asyncio
from sentimatrix import Sentimatrix
from sentimatrix.config import SentimatrixConfig, LLMConfig

async def main():
    config = SentimatrixConfig(
        llm=LLMConfig(
            provider="groq",
            api_key="your-groq-key",
            model="llama-3.3-70b-versatile"
        )
    )

    async with Sentimatrix(config) as sm:
        # Scrape reviews from Steam
        reviews = await sm.scrape_reviews(
            url="https://store.steampowered.com/app/1245620/ELDEN_RING/",
            platform="steam",
            max_reviews=100
        )

        # Analyze all reviews
        results = await sm.analyze_batch([r.text for r in reviews])

        # Get distribution
        positive = sum(1 for r in results if r.sentiment == "positive")
        negative = sum(1 for r in results if r.sentiment == "negative")
        neutral = sum(1 for r in results if r.sentiment == "neutral")

        print(f"Positive: {positive}, Negative: {negative}, Neutral: {neutral}")

        # Generate LLM summary
        summary = await sm.summarize_reviews(reviews)
        print(f"\nSummary:\n{summary}")

asyncio.run(main())