… principal component analysis (PCA) and latent semantic analysis (… In order to boost
performance, the models would be more … On the other hand, phishing emails have been …

… an ensemble with a boosted performance. Bayesian decision-… answering tasks compared
to sentiment analysis tasks. … of using intention analysis can handle the increasing number of …

… extracting spam features, authors in [25] evaluated the performance … Enhancing machine
learning prediction in cybersecurity using … Sentiment analysis of citations using word2vec. arXiv …

… utilized sentiment analysis techniques, specifically SVM and RF classifiers, to categorize
websites as either spam or non-spam. … examples, hence enhancing their performance. Adaptive …

… AdaBoost and multi boost are the proposed ensemble … and analyze the existing features
for phishing detection and … , classifiers, and performance measurements. The examinations …

… [8] detected phishing attacks by using four different categories of features in their work. They
… classification performance [15]. In our work, we have used Bagging and Boosting ensemble …

… We analyze the semantics of the techniques we detected and … on semantic categorization.
• Measurements indicating the increasing use of clientside evasion techniques by phishers, …

… Our proposed model extends their work to improve the performance with boosting. The
extreme gradient boosting (XGBoost) is an end to end tree boosting algorithm which was …

… holding great promise in enhancing system security against … This section includes a comparison
between the performance … for topic recognition, sentiment analysis, text categorization, …

… In this work, we applied deep semantic analysis, and machine … as phishing or non-phishing.
Until very recently, little work has been devoted to semantic analysis in phishing detection [8]…