Job Summary: The project deals with analyzing microblogs (e.g., tweets). Over the last decade, microblogging has become a standard of communications among users of social networks. The increasing volume of microblogging content created using social networks is accompanied by an increase in the velocity of data that are being generated in real-time. The content of these microblogs is coarse and unstructured; however, with the use of information extraction techniques useful information can be harvested and used to build applications that can answer more complex queries in real-time. The project involves taking microblogs created in a social network (e.g. Twitter) and extracting structured information from these microblogs using information extraction tools. This information is mapped onto a streaming graph which is updated in real time. The streaming graph is used to execute complex queries which represent a combination of keyword and graph queries in real-time. The...
Unofficial blog for student announcements for the Cheriton School of Computer Science at the University of Waterloo