Automated Sentiment Analysis

Abstract

This project develops a software tool to automate the collection of sentiment data from electronic media reports. Through analyses the report illustrates that the data generated from the new software tool produces valid and reliable data measuring attitudes and beliefs about political candidates, their actions, and their policies. The report further shows that such data improves the model fit of political behavior models. Specifically, the new data reveals important impacts on the actions and interactions of political actors. The report closes with the prospects for future analyses and research in this area and the area of national security.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA532194

Entities

People

  • Michael A. Covington
  • Stephen M. Shellman

Organizations

  • University of Georgia

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computational Science
  • Computer Programming
  • Governments
  • Information Science
  • International Relations
  • Language
  • Linguistics
  • Machine Learning
  • National Security
  • Natural Languages
  • Political Science
  • Psychology
  • Security
  • Social Sciences
  • Unsupervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Instructional Design and Training Evaluation.
  • Political Violence and Terrorism Studies.
  • Systems Analysis and Design

Technology Areas

  • Microelectronics