Spam Revisited ABSTRACT Even though unsolicited commercial e-mail or Spam continues to be a major problem, very little academic research has focused on it. Notable exceptions include The purpose of this paper is to provide a comprehensive overview of the Spam problem and a critical analysis of the solutions. We begin with a definition of Spam. This is followed by an analysis of the pernicious i...

directed to make e-mail universally and seamlessly accessible to a broad population of potential users through an affordable telephone-based service. Thus, the main objective of E-MATTER was to develop a Spoken Language Dialogue System (SLDS) for an e-mail access service that uses a multilingual spoken language interface (both input and output) and that takes into account the cultural and the l...

Anonymizers based on a mediating computer interposed between the sender and the receiver of an e{mail message have been used for several years by senders of e{mail messages who do not wish to disclose their identity to the receivers. In this model, the strength of the system to protect the identity of the sender depends on the ability and willingness of the mediator to keep the secret. In this ...

We present the development and evaluation of a semantic analysis task that lies at the intersection of two very trendy lines of research in contemporary computational linguistics: (i) sentiment analysis, and (ii) natural language processing of social media text. The task was part of SemEval, the International Workshop on Semantic Evaluation, a semantic evaluation forum previously known as SensE...

Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is successfully applied in a filtration of e-mail from undesirable messages for a long time. In this paper it is offered to apply Case Based Reasoning technology to a spam filtering problem....

Mobile phone e-mail is increasingly being chosen by consumers as their primary communication tool. Messages exchanged among mobile phone users frequently contain “emoticons (smileys)” and “emoji (pictograms)”. Some consumers have started to use services that add a relevant animated image to a message. Consumers will start to exchange animated messages if they are available. This paper proposes ...

We present experiments using language models to rank e-mail messages for the Known-Item Finding task of the Enterprise track. We combine evidence from the text of the message, its subject, the text of the thread the in which the message occurs, and the text of messages that are in reply to the message. We find that the only statistically significant differences suggest that in addition to the t...

Spam is one of the main problems in emails communications. As the volume of non-english language spam increases, little work is done in this area. For example, in Arab world users receive spam written mostly in arabic, english or mixed Arabic and english. To filter this kind of messages, this research applied several machine learning techniques. Many researchers have used machine learning techn...

Interruption of work by e-mail and other communication technologies has become widespread and ubiquitous. However, our understanding of how such interruptions influence individual performance is limited. This paper distinguishes between two types of e-mail interruptions (incongruent and congruent) and draws upon action regulation theory and the computer-mediated communication literature to exam...

This paper presents a new approach to an automatic categorization of email messages into folders. The aim of this paper is to create a new algorithm that will allow one to improve the accuracy with which emails are assigned to folders (Email Foldering Problem) by using solutions that have been applied in Ant Colony Optimization algorithms (ACO) and Social Networks Analysis (SNA). The new algori...