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Showing 1 to 8 of 8 for “"Bayes Classification"”.
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A Sentiment Analysis of "Filipinx" on Twitter Using a Multinomial Naïve Bayes Classification Model
… containing “Filipinx”, and to train a Naïve Bayes model to classify tweets into three sentiments: positive, neutral, and negative. My methodology takes inspiration from that of four related studies that similarly conducted sentiment analysis on English/Filipino tweets involving various …
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System (for) Tracking Equilibrium and Determining Incline (STEADI)
… in two sections, the signal processing and classification. For the processing both a median filter and a high pass filter are used. A Median filter is used to amplify/enhance the signal by removing impulsive noise while preserving the signal shape while the High pass filter is used to …
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Backscatter and Attenuation Characterization of Ventricular Myocardium
… backscatter. The results were analyzing using Bayes Classification and ROC analysis to quantify potential advantages of using a combination of two features of cyclic variation of myocardial backscatter over using only one or the other feature to distinguish between groups of subjects. When the …
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A gestural human computer interface for Smart Health
… involving Principal Component Analysis and Naïve Bayes classification. The accuracy is comparable to more computationally intensive approaches. The actions can be mapped to commands for controlling commonly used applications like e-mail and customized to individual preferences. There is a …
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Ontology-based annotation using naive Bayes and decision trees
… and model the annotations with a group of naive Bayes classifiers, then explore the inherent relationship among different components defined by the ontology using a probabilistic decision tree model. Our solution outperforms conventional text mining approaches by taking advantage of an ontology. …
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Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing
… <p>In the research of text mining, document classification is a growing field. Even though we have many existing classifying approaches, Naïve Bayes Classifier is good at classification because of its simplicity and effectiveness. The aim of this paper is to identify the impact of …
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Enhancing Engagement in Online Business Learning: Exploring the Role and Impact of Artificial Intelligence and Dialogic Pedagogy
… (SOLO) taxonomy was applied, enabling the classification of student contributions based on increasing levels of cognitive depth and integration. The analytical framework also incorporated the Online Student Engagement Scale (OSE) to evaluate behavioural, emotional, cognitive, and social …
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Markov model methods for discrete sequences and soccer analysis
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms