Due to the ever-growing amount of data, computer-aided methods and systems to detect
weak signals and trends for corporate foresight are in increasing demand. To this day, many …

Twitter has become one of the largest microblogging platforms for users around the world to
share anything happening around them with friends and beyond. A bursty topic in Twitter is …

Purpose With the intensification of market competition, there is a growing demand for weak
signal identification and evolutionary analysis for enterprise foresight. For decades, many …

With the advent of social networks and micro-blogging systems, the way of communicating
with other people and spreading information has changed substantially. Persons with …

The problem of clustering content in social media has pervasive applications, including the
identification of discussion topics, event detection, and content recommendation. Here, we …

Microblogs, such as Twitter, are a way for users to express their opinions or share pieces of
interesting news by posting relatively short messages (corpus) compared with the regular …

The early detection of and an adequate response to meaningful signals of change have a
defining impact on the competitive vitality and the competitive advantage of companies. For …

Estimating human age is a challenging task in computer vision and most researchers are
trying to make age estimation via a static facial image. However, it ignores the fact that the …

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 …

User-generated content such as online reviews in social media evolve rapidly over time. To
better understand the social media content, users not only want to examine what the topics …