… to include more features to improve detection performance. … component analysis (PCA) and
latent semantic analysis (LSA)… , which has the net effect of increasing the false negative rate. …

… noises in enhancing robustness of the phishing URL classifiers … , SVM ensemble) for
enhancing the robustness and accuracy … to analyze the performance of SVM classifier for phishing …

… performance in the detection of phishing sites. Yang et al. [9] propose a multidimensional
feature phishing detection … XGBoost algorithm is a type of boosting models and short form for …

… in classifying the spam emails based on semantic analysis of the … Ada-boost classifier:
Ada-boost is another type of classifier … In Ada-boost, the performance of the model is improved by …

… has been used in [30] which utilizes semantic analysis. This … The proposed boosting
models that we have covered improve the performance of the phishing detection system. …

… increasing. For example, Google Chrome has extracted 2130-dimensional features for phishing
detection … and Recall, which can comprehensively reflect the performance of the method. …

… effectively used for sentiment analysis, machine translation, … role in enhancing the accuracy
of the detection. Likewise, the … Therefore, the accuracy attained showed good performance …

… content as malicious in phishing attacks using sentiment analysis. The machine learning of
… Extreme Boosting (XGBoost) is a decision tree ensemble that leverages Gradient Boosting …

… The cyber security problems are increasing nowadays due to the growth of internet world …
processing for detecting phishing attacks. In this they used the semantic analysis of text to …

… are concatenated with HTML embeddings, increasing the corpus’s vocabulary map. The …
model in phishing detection. We analyzed this by checking the performance of WebPhish …