Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications

author: Amit Sheth, Kno.e.sis, Wright State University
author: Selvam Velmurugan, eMoksha
published: April 16, 2011,   recorded: March 2011,   views: 6452


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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.

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Reviews and comments:

Comment1 Degni Mozas, December 2, 2021 at 10:49 a.m.:

Is it relevant now? It seems to me that no one reads such textbooks for a long time, since all the necessary information is on the Internet.

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