|Title||Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications|
|Year of Publication||2011|
|Authors||Meenakshi Nagarajan, Amit Sheth, Selvam Velmurugan|
|Keywords||Citizen sensing, mobile development application, people-content-network view of social media, semantic social mashup, semantic social web, social development application, social media analysis, social signals, user generated content|
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.
|Full Text|| |
Meenakshi Nagarajan,Amit Sheth,Selvam Velmurugan Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications Proc of the WWW 2011, March 28 - April 1, 2011, Hyderabad, India, ACM.