This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …

Deep learning transformer models become important by training on text data based on self-
attention mechanisms. This manuscript demonstrated a novel universal spam detection …

Emails and SMSs are the most popular tools in today communications, and as the increase
of emails and SMSs users are increase, the number of spams is also increases. Spam is any …

Sentiment analysis has attracted much attention from both researchers and practitioners as
word-of-mouth (WOM) has a significant influence on consumer behavior. One core task of …

Phishing emails are emails that pretend to be from a trusted company that target users to
provide personal or financial information. Sometimes, they include links that may download …

Spam has become an important problem for computer security because it is a channel for
spreading threats, including computer viruses, worms and phishing. Currently, more than …

Twitter has become one of the most used social networks. And, as happens with every
popular media, it is prone to misuse. In this context, spam in Twitter has emerged in the last …

This paper focuses on the security of electronic mail, using machine learning algorithms.
Spam email is unwanted messages, usually commercial, sent to a large number of …

Spam e-mail documents classification is a very challenging task for e-mail users, especially
non IT users. Billions of people using the internet and face the problem of spam e-mails. The …