Context Mining with Machine Learning Approach: Understanding, Sensing, Categorizing, and Analyzing Context Parameters

Context is a vital concept in various fields, such as linguistics, psychology, and computer science. It refers to the background, environment, or situation in which an event, action, or idea occurs or exists. Categorization of context involves grouping contexts into different types or classes based on shared characteristics. Physical context, social context, cultural context, temporal context, and cognitive context are a few categories under which context can be divided. Each type of context plays a significant role in shaping our understanding and interpretation of events or actions. Understanding and categorizing context is essential for many applications, such as natural language processing, human-computer interaction, and communication studies, as it provides valuable information for interpretation, prediction, and decision-making. In this paper, we will provide an overview of the concept of context and its categorization, highlighting the importance of context in various fields and applications. We will discuss each type of context and provide examples of how they are used in different fields. Finally, we will conclude by emphasizing the significance of understanding and categorizing context for interpretation, prediction, and decision-making

A Working History of Digital Zoom, Medieval to Modern

[Article draft from 2020: very of its mid-lockdown moment, but unlikely to be revisiting this, so here it is!] This article examines one of the most familiar elements of digital interfaces: the zoom tool. By tracing the conceptual, technical, and material histories of zooming from the late Middle Ages to the present day, it demonstrates how historians of the medieval book might turn their attention to the digital tools on which we increasingly depend not just in our academic work, but in all areas of life. It also considers some of the broader ramifications of looking beneath the screens of our smart devices: the complex and often discontinuous histories of information technologies, the hollowness of powerful corporations’ claims of “innovation” and “disruption,” the various forms of extractivism on which the digital realm depends, and the modern regimes of worker “flexibility” and “knowledge work.