According to World Health Organization, one of the greatest health hazards of 21st century is
mental disorder. Unlike any physical illness, mental illness is not that apparent to be …

Twitter, currently the leading microblogging social network, has attracted a great body of
research works. This paper proposes a data analysis framework to discover groups of …

Twitter, a microblogging online social network (OSN), has quickly gained prominence as it
provides people with the opportunity to communicate and share posts and topics …

In this paper we propose a method to characterize user behavior from their engagement with
enterprise social media. Content analysis often suffers challenges due to noise. Here we …

The growing availability of public opinion on the web makes a fine-grained analysis of “what
people think” possible. Twitter (twitter. com), as a particularly popular micro-blog service that …

Just few years ago, many of us and rest of the world believed that social media was just fun,
unproductive and pointless technical whim. But today, the use of social media has become a …

Social Networks have become an important environment for Collective Trends extraction.
The interactions amongst users provide information of their preferences and relationships …

In the emerging field of micro-blogging and social communication services, users post
millions of short messages every day. Keeping track of all the messages posted by your …

Detecting societal sentiment trends and emotion patterns is of great interest. Due to the time-
varying nature of these patterns and trends this detection can be a challenging task. In this …

Data mining techniques are well known and are often used to analyze and explore datasets
for meaningful information. Social media, such as Twitter, has emerged as a source of data …