Social media users can be influenced directly by their close relationships, such as their
friends, family, and colleagues. They can also be influenced by those who follow them …

For identifying psychological hotspot topics, a mere focus on bibliometric data suffers from a
publication delay. To overcome this issue, we introduce Twitter mining of ongoing online …

With the emergence of online social networks and microblogging websites, user interest
mining has been an active research topic for the past few years. However, most of the …

Predicting users' interests on social networks is gaining attention due to its potential to cater
customized information and services to the end users. Although previous works have …

The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …

User behavior mining on Social Media (UBMSM) is the process of representing, analyzing,
and extracting operational and behavioral patterns from user behavioral data in social …

Knowledge Bases are information resources that convert factual knowledge to machine-
readable formats to allow users to extract their desired data from multiple sources. The …

he abundance of user generated content on social networks pro-vides the opportunity to
build models that are able to accurately and effectively extract, mine and predict users' …

The abundance of user generated content on social networks provides the opportunity to
build models that are able to accurately and effectively extract, mine and predict users' …

Increasing number of internet users today, the use of e-commerce becomes a very vital
need. One of the keys that holds the success of the e-commerce system is the …