Now showing items 1-4 of 4
Sentiment and Topic Analysis
(Virginia Tech, 2017-05-03)
The IDEAL (Integrated Digital Event Archiving and Library) and Global Event and Trend Archive Research (GETAR) projects have collected over 1.5 billion tweets, and webpages from social media and the World Wide Web and ...
NRV Tweets and RSS feeds
The goal of this project was to associate existing data in the Virtual Town Square database from the New River Valley area with topical metadata. We took a database of approximately 360,000 tweets and 15,000 RSS news stories ...
Generating Text Summaries for the Facebook Data Breach with Prototyping on the 2017 Solar Eclipse
(Virginia Tech, 2018-12-13)
Summarization is often a time-consuming task for humans. Automated methods can summarize a larger volume of source material in a shorter amount of time, but creating a good summary with these methods remains challenging. ...
Computational Linguistic Analysis of Earthquake Collections
CS4984 is a newly-offered class at Virginia Tech with a unit based, project-problem based learning curriculum. This class style is based on NSF-funded work on curriculum for the field of digital libraries and related topics, ...