Accession Number:

ADA622175

Title:

Socio Cultural Media Sharing as Conversations Sensing and Modeling Behavior in Response to Environmental Changes

Descriptive Note:

Final progress rept. 1 Apr 2012-31 Mar 2015

Corporate Author:

STATE UNIV OF NEW YORK AT BUFFALO RESEARCH FOUNDATION

Personal Author(s):

Report Date:

2015-07-06

Pagination or Media Count:

10.0

Abstract:

Over the course of this project, the team worked on several fronts to tackle problems related to evaluating and validating the machine learning techniques that were being developed to classify content shared via social media. We began by focusing on text-based content shared via social media. Here we collected data in the form of social media users comments to news articles about hydrofracking or, fracking. This topic was chosen because it is a timely social and political issue.

Subject Categories:

  • Information Science
  • Sociology and Law
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE