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Generating an Intelligent Human-Readable Summary of a Shooting Event from a Large Collection of Webpages
We describe our approach to generating summaries of a shooting event from a large collection of webpages. We work with two separate events - a shooting at a school in Newtown, Connecticut and another at a mall in Tucson, ...
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 ...
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 ...
Computational Linguistics Hurricane Group
The problem-project based learning described in our presentation and report addresses automatic summarization of web content using natural language processing. Initially, we used simple techniques such as word frequencies ...
Abstractive Text Summarization of the Parkland Shooting Collection
(Virginia Tech, 2018-12-12)
We analyze various ways to perform abstractive text summarization on an entire collection of news articles. We specifically seek to summarize the collection of web-archived news articles relating to the 2018 shooting at ...