logo Conference Theme

Official Airline
Tutorial :
Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications
Tutorial id tr27
Tutorial name Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications
Presenters • Meena Nagarajan
IBM Almaden Research Center
San Jose, CA, USA
• Amit Sheth Kno.e.sis Center
Wright State University
Dayton, OH, USA
• Selvam Velmurugan eMoksha and Kiirti
Seattle, WA, USA


With the rapid rise in the popularity of social media (500M+ Facebook users, 100M+ twitter users), and near ubiquitous mobile access (4.1 billion actively-used mobile phones), the sharing of observations and opinions has become common-place (nearly 100M tweets a day, 1.8 trillion SMSs in US last year). This has given us an unprecedented access to the pulse of a populace and the ability to perform analytics on social data to support a variety of socially intelligent applications -- be it towards targeted online content delivery, crisis management, organizing revolutions or promoting social development in underdeveloped and developing countries.
This tutorial will address challenges and techniques for building applications that support a broad variety of users and types of social media. This tutorial will focus on social intelligence applications for social development, and cover the following research efforts in sufficient depth: 1) understanding and analysis of informal text, esp. microblogs (e.g., issues of cultural entity extraction and role of semantic/background knowledge enhanced techniques), and 2) building social media analytics platforms. Technical insights will be coupled with identification of computational techniques and real-world examples.


IIIT Bangalore
In Association With

Quick Links
Face Book

facebook linkedin twitter Valid XHTML 1.0 Transitional