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Aspect-based classification method for review spam detection
Online reviews have become available for consumers’ reference to make purchase decisions, but a large number of spam reviews have damaged e-commerce...
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Online consumer review spam detection based reinforcement learning and neural network
Despite cutting-edge approaches for detecting spam reviews, there is still a lack of precision to classify new reviews since spammer...
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Vote-based integration of review spam detection algorithms
Due to the growth of online review data, detecting fake or fraudulent reviews is becoming an urgent issue. One barrier to effective detection of fake...
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Machine learning algorithm-based spam detection in social networks
Many social media (SM) platforms have emerged as a result of the online social network’s (OSN) rapid expansion. SM has become important in day-to-day...
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A Review on Artificial Intelligence Techniques for Multilingual SMS Spam Detection
With social networks’ increased popularity and smartphone technology advancements, Facebook, Twitter, and short text messaging services (SMS) have...
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GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm
Email is one of the most popular communication tools for delivering messages online. However, tremendously delivered email has harmed users through...
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Co-attention Based Feature Fusion Network for Spam Review Detection on Douban
Spam review detection is a popular research problem and researchers have paid much attention to online reviews of hotels, restaurants, hospitals,...
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TwitterGAN: robust spam detection in twitter using novel generative adversarial networks
As social media platforms like Twitter continue to evolve, the proliferation of spam content has become a pressing issue, undermining the credibility...
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A comprehensive survey of various methods in opinion spam detection
With the development of technology, e-marketing and business competition, reviews significantly affect people’s lives. Consumers of e-commerce sites...
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Deep feature fusion for cold-start spam review detection
The cold-start problem in spam review detection is a significant challenge referring to identifying the authenticity of the first review posted by...
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Online Spam Review Detection: A Survey of Literature
The increasingly developed online platform generates a large amount of online reviews every moment, e.g., Yelp and Amazon. Consumers gradually...
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A novel deep learning model-based optimization algorithm for text message spam detection
Mobile texting has increased social engineering assaults like phishing. Because spam, or unsolicited text messages, spread phishing attempts that...
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Enhancing detection of malicious profiles and spam tweets with an automated honeypot framework powered by deep learning
Social networks are widely used platforms for sharing various information and content, including text, images, and videos.The main challenge in...
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Deceptive opinion spam detection approaches: a literature survey
Nowadays, a large number of customers purchase products and services online. Customers can write their opinions in reviews to express the value and...
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GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection
Spam reviews contain untruthful content created with malevolent intent, to affect the overall reputation of a product, service or company. This...
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Comparison of machine learning techniques for spam detection
Email is a useful communication medium for better reach. There are two types of emails, those are ham or legitimate email and spam email. Spam is a...
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Deceptive opinion spam detection using bidirectional long short-term memory with capsule neural network
Product reviews are becoming a more popular tool for businesses and individuals when making judgements about purchases. Spammers create synthesized...
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Early Spam Detection Using Time-Based Cache in Graph database
Social networking is prevalent everywhere. Technology has made the world seem smaller by bringing individuals together, reconnecting people, and...
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Machine intelligence based hybrid classifier for spam detection and sentiment analysis of SMS messages
Short Message Service (SMS) on mobile phones has improved because of technological advancements and increases in content-based marketing where smart...
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Detection of Twitter Spam Using GLoVe Vocabulary Features, Bidirectional LSTM and Convolution Neural Network
Twitter spam is used to describe any form of unwanted or unsolicited communications, tweets, or activities that users encounter on the social media...
