🌟 Emotion Sentiment Analysis API 🌟

Effortlessly unlock text insights with AI-powered sentiment and emotion analysis!

Welcome to the Emotion Sentiment Analysis API! This API provides developers with the tools to analyze text for sentiment and emotions, enabling smarter decision-making and improved user experiences.

📢 Subscribe now on RapidAPI to get started!

✨ API Docs to get started!

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🔥 Features

• Sentiment Analysis: Detect whether text is 😊 positive, 😐 neutral, or 😠 negative in 6 languages: English (en), French (fr), Spanish (es), German (de), Portuguese (pt), and Italian (it).
• Emotion Detection: Uncover up to 28 distinct emotions 🎭 from English text, including joy, anger, love, and more.
• 🚀 Fast, Reliable, and Developer-Friendly!

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📌 API Endpoints

1. /sentiment Endpoint

Analyze the sentiment of your input text across 6 languages.

• Input Parameters:
  • text (required): The text you want to analyze.
• Supported Languages: en, fr, es, de, pt, it.

Sentiment Mapping:

Sentiment Code	Sentiment Label
0	Negative 😠
1	Neutral 😐
2	Positive 😊

Sample Request:

GET /sentiment?text=I love this product!

Sample Response:

{
  "input_text": "I love this product!",
  "predicted_sentiment": "Positive",
  "probability_scores": [0.1, 0.2, 0.7],
  "predicted_label": "Positive"
}

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2. /emotion Endpoint

Identify up to 28 distinct emotions from English text.

• Input Parameters:
  • text (required): The text you want to analyze.

Emotion Mapping:

Emotion Code	Emotion Label
0	admiration 🥰
1	amusement 😂
2	anger 😡
3	annoyance 😤
4	approval 👍
5	caring 🤗
6	confusion 🤔
7	curiosity 🤨
8	desire 😍
9	disappointment 😞
10	disapproval 👎
11	disgust 🤮
12	embarrassment 😳
13	excitement 😆
14	fear 😨
15	gratitude 🙏
16	grief 😢
17	joy 😊
18	love ❤️
19	nervousness 😬
20	optimism 🌟
21	pride 😌
22	realization 🤓
23	relief 😅
24	remorse 😔
25	sadness 😭
26	surprise 😲
27	neutral 😐

Sample Request:

GET /emotion?text=Wow I'm so excited for the weekend!

Sample Response:

{
  "input_text": "Wow I'm so excited for the weekend!",
  "predicted_emotion": "excitement",
  "probability_scores": [0.05, 0.02, 0.9, ...],
  "predicted_label": "excitement"
}

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💻 Getting Started

1. Subscribe on RapidAPI: Emotion Sentiment Analysis API.
2. Use the provided API key to authenticate your requests.
3. Start analyzing sentiment and emotions in your text data!

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🤝 Contributing

We welcome contributions! If you have suggestions or feature requests, feel free to create a pull request or open an issue.

📧 Contact

For questions, feedback, or support, reach out to us via the RapidAPI platform.

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💡 Let the Emotion Sentiment Analysis API empower your projects today! 💡