The problem and process of identifying the meaning of a word as per its usage context is
called word sense disambiguation (WSD). Although research in this field has been ongoing …

The role of intelligence and security informatics based on statistical computations is
becoming more significant in detecting terrorism activities proactively as the extremist …

One of the most critical activities of revealing terrorism-related information is classifying
online documents. The internet provides consumers with a variety of useful knowledge, and …

Classifying web documents is considered as one of the most important tasks to reveal the
terrorism-related documents. Internet provides a lot of valuable information to the users and …

In this paper, the problem of generating temporal semantic context for concepts is studied.
The goal of the proposed problem is to annotate a concept with temporal, concise, and …

Establishment of institutions of higher learning requires massive amount of different
resources which are always in short supply. The delivery of learning material and tests to the …

In highly complex and flexible environments, event logs tend to exhibit high levels of
heterogeneity, and clustering-based methods are candidate techniques for simplifying the …

The unstructured nature of online reviews makes it inefficient and inconvenient for
prospective consumers to research and use in support of purchase decision making. The …

Abstract Knowledge-based Word sense Disambiguation (WSD) methods heavily depend on
knowledge. Therefore enriching knowledge is one of the most important issues in WSD. This …

This paper proposed a method to find annotations corresponding to given CNN news
documents for detecting terrorism image or context information. Assigning keywords or …