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Linking Twitter Sentiment and Event Data to Monitor Public Opinion of Geopolitical Developments and Trends

  • Lucas A. Overbey
  • Scott C. BatsonEmail author
  • Jamie Lyle
  • Christopher Williams
  • Robert Regal
  • Lakeisha Williams
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10354)

Abstract

Readily observable communications found on Internet social media sites can play a prominent role in spreading information which, when accompanied by subjective statements, can indicate public sentiment and perception. A key component to understanding public opinion is extraction of the aspect toward which sentiment is directed. As a result of message size limitations, Twitter users often share their opinion on events described in linked news stories that they find interesting. Therefore, a natural language analysis of the linked news stories may provide useful information that connects the Twitter-expressed sentiment to its aspect. Our goal is to monitor sentiment towards political actors by evaluating Twitter messages with linked event code data. We introduce a novel link-following approach to automate this process and correlate sentiment-bearing Twitter messages with aspect found in connected news articles. We compare multiple topic extraction approaches based on the information provided in the event codes, including the Goldstein scale, a simple decision tree model, and spin-glass graph clustering. We find that while Goldstein scale is uncorrelated with public sentiment, graph-based event coding schemes can effectively provide useful and nuanced information about the primary topics in a Twitter dataset.

Keywords

Latent Dirichlet Allocation News Article Graph Cluster Twitter User Uniform Resource Locator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG (outside the US) 2017

Authors and Affiliations

  • Lucas A. Overbey
    • 1
  • Scott C. Batson
    • 1
    Email author
  • Jamie Lyle
    • 1
  • Christopher Williams
    • 1
  • Robert Regal
    • 1
  • Lakeisha Williams
    • 1
  1. 1.Space and Naval Warfare Systems Center AtlanticNorth CharlestonUSA

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