首页|Study Findings on Machine Learning Detailed by Researchers at Purdue University (Spam detection for Youtube video comments using machine learning approaches)
Study Findings on Machine Learning Detailed by Researchers at Purdue University (Spam detection for Youtube video comments using machine learning approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Purdue University by NewsRx editors, research stated, “Machine Learning models have the ability to st reamline the process by which Youtube video comments are filtered between legiti mate comments (ham) and spam.” Financial supporters for this research include National Science Foundation. Our news correspondents obtained a quote from the research from Purdue Universit y: “In order to integrate machine learning models into regular usage on media-sh aring platforms, recent approaches have aimed to develop models trained on Youtu be comments, which have emerged as valuable tools for the classification and hav e enabled the identification of spam content and enhancing user experience. In t his paper, eight machine learning approaches are applied to spam detection for Y ouTube comments. The eight machine learning models include Gaussian Naive Bayes, logistic regression, K-nearest neighbors (KNN) classifier, multi-layer perceptr on (MLP), support vector machine (SVM) classifier, random forest classifier, dec ision tree classifier, and voting classifier. All eight models perform very well , specifically random forest approach can achieve almost perfect performance wit h average precision of 100% and AUC-ROC of 0.9841.”
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