➡️ A machine learning application developed in Python which predicts the mental health of a twitterer based on their tweets. ➡️ Twitter API v2 is used to fetch the latest tweets of the user. ➡️ The model is trained using a dataset with 1.6 million tweets. ➡️ Various machine learning algorithms such as SVM, NaiveBayes, Logistic Regression are used and the best model is validated using metrics like accuracy, precision, recall and f1 score, etc.
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ML application that predicts the mental health of a twitterer based on their tweets
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m0hanram/SOUND-MIND
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ML application that predicts the mental health of a twitterer based on their tweets
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