IDEAL or Integrated Digital Event Archiving and Library is a project of Virginia Tech to implement a state-of-the-art event-based information retrieval system. A practice project of CS 5604 Information Retrieval is a part ...

Internet forums, weblogs, social networks, and photo and video sharing websites are some forms of social media that are at the forefront of enabling communication among individuals. The rich information captured in ...

The notion of graphs or networks is sufficiently pervasive since it can be used to model various types of data sources. Social, biological, and other networks capture the underlying structural and relational properties. ...

The term “Named Entity”, which was first introduced by Grishman and Sundheim, is widely used in Natural Language Processing (NLP). The researchers were focusing on the information extraction task, that is extracting ...

Document clustering is an unsupervised classification of text documents into groups (clusters). The documents with similar properties are grouped together into one cluster. Documents which have dissimilar patterns are ...

One of the key objectives of the CS-5604 course titled Information Storage and Retrieval is to build a pipeline for a state-of-the-art retrieval system for the Integrated Digital Event Archiving and Library (IDEAL) and ...

Given the tweets from the instructor and cleaned webpages from the Reducing Noise team, the planned tasks for our group were to find the best: (1) way to extract information that will be used for document representation; ...

The Integrated Digital Event Archive and Library (IDEAL) is a Digital Library project that aims to collect, index, archive and provide access to digital contents related to important events, including disasters, man-made ...

Social media and Web data are becoming important sources of information for researchers to monitor and study global events. GETAR, led by Dr. Edward Fox, is a project aiming to collect, organize, browse, visualize, ...

The IDEAL (Integrated Digital Event Archiving and Library) and Global Event and Trend Archive Research (GETAR) projects aim to build a robust Information Retrieval (IR) system by retrieving tweets and webpages from social ...