Does it matter what they said? A text mining analysis of the state of the union addresses of USA presidents

Steven Crockett, Carl Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Text data are a major type of data in the modern society. Literatures have pointed out that more than 80% of data are in text form. It is important to study the insights from text data in addition to quantitative data. The development of text mining techniques started in the early 80's. The methodology has become much more mature in the recent years. In this article, we conduct a case study using text mining technique to analyze the patterns of the president's State of the Union address in USA. The speeches analyzed include the recent four USA presidents, Bush (1989 - 1992), Clinton (1993 - 2000), G.W. Bush (2001 - 2008), and Obama (2009 - 2011). Using two different text mining techniques, we identify six clusters from the 23 speeches using one technique and obtain seven topics based on the other technique.

Original languageEnglish
Title of host publicationProceedings - 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012
Pages77-82
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012 - Kyoto, Japan
Duration: Aug 8 2012Aug 10 2012

Publication series

NameProceedings - 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012

Conference

Conference13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012
Country/TerritoryJapan
CityKyoto
Period08/8/1208/10/12

Keywords

  • Cluster
  • Filtering
  • Parsing
  • Pattern
  • Singular Value Decomposition

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