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CS5604 Fall 2016 Classification Team Final Report
(Virginia Tech, 2016-12-08)
Content is generated on the Web at an exponential rate. The type of content varies from text on a traditional webpage to text on social media portals (e.g., social network sites and microblogs). One such example of social ...
CS5604 Fall 2017 Classification Team Submission
(Virginia Tech, 2018-01-03)
This project submission includes the work of the 'Classification' team of the CS5604 'Information Storage and Retrieval' course of Fall 2017 towards the GETAR project. Classification of the GETAR data would allow users to ...
Analyzing and Visualizing Disaster Phases from Social Media Streams
Working under the direction of CTRNet, we developed a procedure for classifying Twitter data related to natural/man-made disasters into one of the Four Phases of Emergency Management (response, recovery, mitigation, and ...
Classification Project in CS5604, Spring 2016
In the grand scheme of a large Information Retrieval project, the work of our team was that of performing text classification on both tweet collections and their associated webpages. In order to accomplish this task, we ...
Classification Team Project for IDEAL in CS5604, Spring 2015
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; ...