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Found 7 papers, 0 papers with code
Fake Reviews Detection through Ensemble Learning
Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews.
Fake Reviews Detection through Analysis of Linguistic Features
Online reviews play an integral part for success or failure of businesses.
Cyber-Attack Consequence Prediction
We compare the performance through various machine learning models employing word vectors obtained using both tf-idf and Doc2Vec models.
Cryptography and Security Human-Computer Interaction
Predicting Emotions Perceived from Sounds
This paper conducts an experiment through which several mainstream and conventional machine learning algorithms are developed to study the prediction of emotions perceived from sounds.
Phishing Detection through Email Embeddings
In this paper, we crafted a set of phishing and legitimate emails with similar indicators in order to investigate whether these cues are captured or disregarded by email embeddings, i. e., vectorizations.
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks
The results of the open card sorting study showed a large amount of inter-participant variation making the research team wonder how the consequences of security attacks were comprehended by the participants.
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
This study focuses on the detection of phishing websites using deep learning models such as Multi-Head Attention, Temporal Convolutional Network (TCN), BI-LSTM, and LSTM where URLs of the phishing websites are treated as a sequence.
