The Powerball method, via incorporating a power coefficient into conventional optimization
algorithms, has been considered in accelerating stochastic optimization (SO) algorithms in …

Detecting spam on social networks is a significant challenge in natural language processing
due to the sparse and ambiguous nature of the text. Existing methods for spam identification …

Abstract Machine Learning models have the ability to streamline the process by which
Youtube video comments are filtered between legitimate comments (ham) and spam. In …

Mobile texting has increased social engineering assaults like phishing. Because spam, or
unsolicited text messages, spread phishing attempts that steal personal information …

Stock price forecasting is one of the most researched topics because it appeals to both the
academic and commercial communities. Since the development of artificial intelligence, a …

As social media usage grows in popularity, so does the risk of encountering malicious
Uniform Resource Locator (URLs). Determining the authenticity of a URL can be a highly …

With the increasing use of social media platforms like Twitter, the problem of spam is
becoming more prevalent. This is especially concerning when it comes to children who use …

In recent years, social media communication plays an important role in sharing messages,
thoughts, comments and ideas around the world. Among them, Twitter is one of the most …

Consumers' real-world experiences affected by interactions on social networks play a
dominant role. With the help of popular social networks, useless information was spread by …