Using rays cycle mining to clarify sentiment analysis

James P. Buckley, Jennifer Seitzer, Matt Mize

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

Abstract

The goal of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. Cycles are of use in identifying particularly interesting patterns of opinion. In this paper we use RAY cycle mining to determine sentiment. RAY cycles are defined and an example is shown to illustrate how RAY cycles can be of benefit in sentiment analysis.

Original languageEnglish
Title of host publication6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479979844
DOIs
Publication statusPublished - 29 Jan 2016
Externally publishedYes
Event6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015 - Denton, United States
Duration: 13 Jul 201515 Jul 2015

Publication series

Name6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015

Conference

Conference6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015
Country/TerritoryUnited States
CityDenton
Period13/07/1515/07/15

Keywords

  • cycle mining
  • knowledge discovery
  • sentiment analysis

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