Any discussion in social media can be fruitful if the people involved in the discussion are
related to a field. In a similar way to advertise an event, it is useful to find users who are …

This paper presents a novel technique for classifying user accounts on Twitter. The main
purpose of our classification is to distinguish the patterns of users from those of individuals …

Increasing popularity of social networking sites like facebook, twitter, google+ etc. is
contributing in fast proliferation of big data. Amongst social Networking sites, twitter is one of …

In this paper, we propose a novel technique for classifying user accounts on online social
networks. The main purpose of our classification is to distinguish the patterns of users from …

Twitter having more than three billion users is one of the most commercial and popular
social networking sites. Twitter permits its users to post short messages and update their …

People use microblogging platforms like Twitter to involve with other users for a wide range
of interests and practices. Twitter profiles run by different types of users such as humans …

Finding the''right people''is a central aspect of social media systems. Twitter has millions of
users who have varied interests, professions and personalities. For those in fields such as …

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

This paper addresses the task of user classification in social media, with an application to
Twitter. We automatically infer the values of user attributes such as political orientation or …

With the boom of social networks, the amount of personal information that is put online has
seen an exponential increase. Social media profiles can reveal important details about …