Mental Health Prediction Using Sentiment Analysis

This project aims to predict mental health conditions based on sentiment analysis of textual data. It utilizes two machine learning algorithms: the Naive Bayes classifier and the Random Forest classifier.

Dataset

• mental-health-dataset

Prerequisites

• Ensure you have the following installed on your system:
  • Python 3.7+
  • Git

Technologies

• Programming Language: Python
• Libraries: Pandas, NumPy, Scikit-learn, NLTK, Matplotlib, Seaborn
• Machine Learning: Naive Bayes classifier and the Random Forest classifier