Combining content and social features in a deep learning approach to Vietnamese email prioritization

The email overload problem has been discussed in numerous email-related studies. One of the possible solutions to this problem is email prioritization, which is the act of automatically predicting the importance levels of received emails and sorting the user’s inbox accordingly. Several learning-based methods have been proposed to address the email prioritization problem using content features as well as social features. Although these methods have laid the foundation works in this field of study, the reported performance is far from being practical. Recent works on deep neural networks have achieved good results in various tasks. In this paper, the authors propose a novel email prioritization model which incorporates several deep learning techniques and uses a combination of both content features and social features from email data. This method targets Vietnamese emails and is tested against a self-built Vietnamese email corpus. Conducted experiments explored the effects of different model configurations and compared the effectiveness of the new method to that of a previous work.

From “You’ve Got Mail” to Email Overload

Using a postphenomenological approach, this article follows the history of email from its first development by and for the scientific community, through its commercialization, and into its modern-day integration with mobile devices. Five historical variations are identified: emergence, propagation, habituation and commercialization, supersaturation, and evanescence. Finally, I propose a model that describes not only the evolution of email, but potentially other digital communications tools. Studying the history of a technology can provide insight into both its past and contemporary applications, and may prompt more thoughtful use.

Email Overload

In this chapter email overload is presented as a component of information overload and some of its causes and consequences are identified. Furthermore, an analysis on the skills required to deal with information overload is made. Then, a critical literature review about the concept of email overload is realized, stressing aspects such as the amount of messages, personal characteristics and skills or technological issues. Solutions for this organizational problem are presented based on relevant case studies from the literature review. Key components to consider in email overload management are also identified, including information management techniques and technological options, training, time management and information behavior (individual and organizational).