Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

Mining social network data and develo** user profile from unstructured and informal data
are a challenging task. The proposed research builds user profile using Twitter data which is …

The rise of social media in couple of years has changed the general perspective of
networking, socialization, and personalization. Use of data from social networks for different …

In this paper, we present our results related to the definition of a methodology that combines
augmented reality (AR) with semantic techniques for the creation of digital stories associated …

The discovery of influential entities in all kinds of networks (eg, social, digital, or computer)
has always been an important field of study. In recent years, Online Social Networks (OSNs) …

Microblogging platforms, such as Twitter, have already played an important role in recent
cultural, social and political events. Discovering latent topics from social streams is therefore …

Microblogging platforms, such as Twitter, already play an important role in cultural, social
and political events around the world. Discovering high-level topics from social streams is …

On daily basis, millions of Twitter accounts post a vast number of tweets including numerous
Twitter entities (mentions, replies, hashtags, photos, URLs). Many of these entities are used …

Chronic disease may lead to life threatening health complications like heart disease, stroke,
and diabetes that diminish the quality of life. CDSS (Clinical Decision Support System) helps …