Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? Accurate classification of microsatellite instability (MSI ...
Abstract: Feature weighting is used to alleviate the conditional independence assumption of Naïive Bayes text classifiers and consequently improve their generalization performance. Most traditional ...
Abstract: Within the e-commerce sphere, optimizing the product classification process assumes pivotal importance, owing to its direct influence on operational efficiency and profitability. In this ...
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A Machine Learning and Natural Language Processing (NLP) project designed to identify signs of depression and mental health risk from social media posts. The system analyzes textual content, extracts ...
The digital revolution and the resulting datafication of society have changed empirical social science research fundamentally. Enormous amounts of data can now be easily stored, managed and analyzed.
The Multinomial Naïve Bayes algorithm was utilized to analyze textual data (i.e., career aspirations) because it performs well with categorical and text-based data ( Alsanad, 2022 ). Cosine similarity ...
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