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A comparative study of Support Vector Machine, 1D Convolutional Neural Network, and LSTM models for classifying real vs fake news articles, trained on a public news corpus with TF-IDF features and deep text embeddings.

An NLP study that reads Colour Doppler Echocardiogram reports and classifies heart conditions, fine-tuning DistilBERT, DistilRoBERTa, and BETO transformers on hospital patient records for clinician use.

An NLP study that reads social media posts to detect emotional signals linked to mental health, fine-tuning DistilBERT, DistilRoBERTa, and BETO on a public sentiment corpus across Positive, Neutral, Negative, and Irrelevant classes.
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