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Detecting users experiencing stress based on their current feelings through machine learning on social media platforms

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Stress Detection

Overview

This project aims to detect users experiencing stress based on their current feelings as expressed on social media platforms. By leveraging machine learning techniques, we analyze user posts and stories to identify signs of stress, contributing to early intervention and support.

Stress Detection

Features

  • Social media data analysis for stress detection.
  • Machine learning model trained on labeled data.
  • Early identification of users in need of support.

Outputs

stress no-stress

Getting Started

Prerequisites

  • Python (version >= 3.6)
  • Pip (to install dependencies)

Installation

  1. Clone the repository:

    git clone https://github.com/ayyesu/STRESS-DETECTION.git
    cd STRESS-DETECTION
  2. Run stress detection script:

    python src/detect_stress.py

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Detecting users experiencing stress based on their current feelings through machine learning on social media platforms

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