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😊 Classify emotions in text using a CoreML model in this iOS app, built with SwiftUI and MVVM architecture for efficient performance and modern development.

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πŸŽ‰ SentimentAnalysis_CoreML_EmotionClassifier - Easy Emotion Analysis for iOS

✨ Description

Welcome to the SentimentAnalysis_CoreML_EmotionClassifier. This application allows you to classify emotions in text on your iOS device easily. It uses CoreML and SwiftUI to provide a smooth user experience. The model behind this app was converted from Scikit-learn using coremltools, ensuring high accuracy. With this easy-to-use app, you can analyze sentiments and emotions seamlessly.

πŸ“₯ Download Now

Download Latest Release

πŸš€ Getting Started

To get started with the SentimentAnalysis_CoreML_EmotionClassifier, you will need an iPhone or iPad running iOS 13.0 or later. The steps below will guide you through the process of downloading and running the app.

πŸ“¦ System Requirements

  • iOS 13.0 or later: Make sure your device is updated.
  • Compatible Device: This app works on both iPhone and iPad.
  • Storage: Ensure you have at least 100 MB available on your device for installation.

πŸ”— Download & Install

  1. Visit the Releases Page: Click on the link below to go to the releases page for the app.
    Download the App

  2. Choose the Latest Version: On the releases page, find the latest version of the app. Look for version numbers and changelog notes to help you find the most recent release.

  3. Download the App: Click on the download link for the app. The file will start downloading automatically.

  4. Open the File: Once the download is complete, open the file on your device.

  5. Install the App: Follow the on-screen instructions to complete the installation.

  6. Launch the App: After installation, find the app on your home screen and tap to open it.

πŸ–₯️ Using the App

When you open the SentimentAnalysis_CoreML_EmotionClassifier, you will find a simple and user-friendly interface. Here’s how you can use it:

  1. Enter Your Text: In the main screen, you will see a text box. Type or paste the text you want to analyze.

  2. Analyze Sentiment: Press the β€œAnalyze” button. The app will process your input in real time.

  3. View Results: After a brief moment, the app will display the emotions it detects from your text. You will see labels like "Happy," "Sad," "Angry," etc.

πŸ“– Features

  • Real-Time Emotion Detection: Get instant feedback on the emotions in your text.
  • User-Friendly Interface: Designed for everyone, regardless of their tech skills.
  • Lightweight Application: The app does not consume much space or resources on your device.
  • Regular Updates: We continuously improve the app based on user feedback.

πŸ› οΈ Support

If you encounter any issues or have questions about the app, feel free to reach out via GitHub issues in this repository. We appreciate your feedback and will do our best to assist you.

To report an issue, simply visit the Issues Page and provide details about the problem.

🌐 Learn More

You can dive deeper into the technology that powers the SentimentAnalysis_CoreML_EmotionClassifier by visiting our documentation or GitHub repository.

For any inquiries or collaboration requests, explore the GitHub Repository.

πŸ”— Additional Resources

Here are some sources to help you understand the underlying technology:

🧩 Closing Thoughts

Thank you for choosing SentimentAnalysis_CoreML_EmotionClassifier. We hope this app enhances your experience with emotion analysis. Happy analyzing!

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😊 Classify emotions in text using a CoreML model in this iOS app, built with SwiftUI and MVVM architecture for efficient performance and modern development.

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