Twitris: A System for Collective Social Intelligence

Social Media Analytics The practice of gathering data from social media websites and analyzing that data to gain new insights, facilitate informed decisions and actions Semantic Web Semantic Web is a group of methods and technologies to help machines and humans understand the meaning — or " semantics " — of data on the World Wide Web Spatio-Temporal-Thematic (STT) Analysis Social media analytics takes into account what is being said about an event (theme) and where (spatial) and when (temporal) it is being said People-Content-Network Analysis (PCNA) Social media analytics takes into account social media users (People), data shared on social media websites (Content), and the network of social media users (Network) Sentiment-Emotion-Intent (SEI) Extraction Analyzing social media content to extract insights about social media provides an exceptional opportunity for leveraging citizen sensing (user expressed observations and opinions) for collective intelligence (deeper insights that drive decisions and actions based on social data) in numerous domains-retailing including branding and marketing, financial markets, entertainment and sports, disaster coordination, social movements, healthcare and epidemiology, etc. However, social data is extremely rich, providing opportunity to understand them from many dimensions such as spatio-temporal-thematic, people-content-network, and sentiment-emotion-intention. It takes rich variety of semantic techniques including knowledge graphs or ontology enhanced or empowered text mining, natural language processing and machine learning (including deep learning). Twitris is an embodiment of all these for real-time and highly scalable technology used both in scientific research and in commercial applications.