RAY Cycle mining and sentiment analysis: A fuzzy approach

Siddharth Gopinath, James P. Buckley

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. Traditional data mining algorithms identify associations in data that are not explicit. Cycle mining algorithms identify meta-patterns of these associations depicting inferences forming chains of positive and negative rule dependencies. Cycles are of use in identifying particularly interesting patterns of opinion. A particular type of cycle called a RAY cycle is used and a fuzzy approach to finding and using fuzzy RAY cycles is defined and discussed.

Original languageEnglish
Title of host publicationWMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
EditorsNagib C. Callaos, Belkis Sanchez, Natalja Lace, Michael Savoie, Andres Tremante
PublisherInternational Institute of Informatics and Systemics, IIIS
Pages69-73
Number of pages5
ISBN (Electronic)9781941763476
Publication statusPublished - 2016
Externally publishedYes
Event20th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2016 - Orlando, United States
Duration: 5 Jul 20168 Jul 2016

Publication series

NameWMSCI 2016 - 20th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Volume1

Conference

Conference20th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2016
Country/TerritoryUnited States
CityOrlando
Period5/07/168/07/16

Keywords

  • Cycle mining
  • Knowledge discovery
  • RAY cycle
  • Sentiment analysis

Fingerprint

Dive into the research topics of 'RAY Cycle mining and sentiment analysis: A fuzzy approach'. Together they form a unique fingerprint.

Cite this