The advent of massive amounts of textual, audio, and visual data has spurred the
development of econometric methodology to transform qualitative sentiment data into …

Online Social Networks (OSNs) are an integral part of the modern lifestyle, and the use of
OSN is highly prevalent today. OSNs have enabled the generation of unprecedented …

The traditional machine learning systems lack a pathway for a human to integrate their
domain knowledge into the underlying machine learning algorithms. The utilization of such …

This research presents a hybrid model for measuring reputation of organizations in online
social networks (OSNs). The model combines quantitative and qualitative features that …

This research aims to analyze the Digital Social Networks (DSN) behavior, constructed from
the network's relationships, interactions, and expressions of users' private states through …

With the rise of Social Media, people obtain and share information almost instantly on a 24/7
basis. Many research areas have tried to gain valuable insights from these large volumes of …

Entity linking, also known as semantic annotation, of textual content has received increasing
attention. Recent works in this area have focused on entity linking on text with special …

Microblogs sentiment analysis of people's attitudes, appraisals and emotions has become
one of the most active research areas for business marketing, decision making, political …

Background: Background: To improve the information efficiency in web text mining, filtration
is utilized. Methods: A web content mining technology based on web text mining, augmented …

The set of perceptions held by various groups based on history and expectations constitutes
the reputation of organizations. There are multiple correct measurements of reputation since …