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Эмоциональная аналитика

  • An AI-powered text emotion analyzer that categorizes input text into emotions and sentiment percentages using OpenAI GPT API.
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    What is GettingTheFeels?
    GettingTheFeels is a Python-based AI agent designed to detect and quantify emotions within any text input. By using OpenAI’s GPT-4 or GPT-3.5 models, it breaks down text into categories like joy, sadness, anger, fear, surprise, and more, assigning real-time sentiment percentages. The agent outputs machine-readable JSON with detailed emotion scores, supports custom model selection, threshold settings, and integrates via simple API calls or function imports. It enables developers to embed advanced emotional insight into chatbots, customer support tools, social media monitors, and user feedback platforms with minimal setup.
  • AI-powered voice journaling for mental health and self-reflection.
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    What is LID: AI-Powered Voice Journaling?
    LID is an AI-powered voice journaling application designed to enhance mental health and promote self-reflection. Users can record their thoughts and emotions, which are transcribed and analyzed using advanced AI algorithms. This process helps individuals gain insights into their mental patterns, track progress over time, and receive personalized feedback and encouragement. The app aims to provide a seamless and intuitive user experience, making journaling both easier and more effective.
  • Imentiv AI offers advanced Emotion AI tools for comprehensive emotion analysis.
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    What is Imentiv AI?
    Imentiv AI is a sophisticated Emotion AI tool leveraging advanced machine learning algorithms to deliver detailed and actionable emotion analysis. Whether for text, video, image, or audio, our solutions decode and understand complex emotional cues, empowering users to create emotionally engaging content. This tool is ideal for businesses looking to gain insights into audience emotions, educators seeking to understand student engagement, or anyone wanting to improve emotional intelligence through data-driven analysis.
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