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CalcX - Emotion Sentiment Analysis API Cover

🌟 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!

🔥 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!

📌 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"
}

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"
}

💻 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!

🤝 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.

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