research data . Dataset . 2018

Generating Text Summaries for the Facebook Data Breach with Prototyping on the 2017 Solar Eclipse

Hamilton, Leah; Robb, Esther; Fitzpatrick, April; Goel, Akshay; Nandigam, Ramya;
Open Access English
  • Published: 13 Dec 2018
  • Publisher: Virginia Tech
  • Country: United States
Abstract
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. This submission contains all work related to a semester-long project in CS 4984/5984 to generate the best possible summary of a collection of 10,829 web pages about the Facebook-Cambridge Analytica data breach, with some early prototyping done on 500 web pages about the 2017 Solar Eclipse. A final report, a final presentation, and several archives of code, input data, and results are included. The work implements basic natural language processin...
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free text keywords: natural language processing, summarization, deep learning, computer science, news articles, data breach, Facebook, solar eclipse, Cambridge Analytica, abstractive summarization, extractive summarization
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Digital Humanities and Cultural Heritage
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