Automatic opinion classification using conformal predictors

GONZALO ALBERTO FARIAS CASTRO, J. León, E. Fabregas, S. Dormido-Canto

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper describes the use of conformal predictors to collect reliable positive or negative opinions of a topic fromtwitter users. Conformal predictors provides not only the label of sample, but also the reliability of this prediction. This feature of conformal algorithms can be naturally used to consider only opinions with high credibility of a specific topic in order to follow a recommendation. This approach can be easily extended to almost any kind of topic, the only one condition is to have previously labelled opinions of the topic that can be used for training or building the conformal predictor. The approach is tested with opinions of Spanish twitter users that recommend (or not) to watch amovie.

Original languageEnglish
Pages58-64
Number of pages7
StatePublished - 1 Jan 2018
Event9th International Conference on Pattern Recognition Systems, ICPRS 2018 - Valparaiso, Chile
Duration: 22 May 201824 May 2018

Conference

Conference9th International Conference on Pattern Recognition Systems, ICPRS 2018
Country/TerritoryChile
CityValparaiso
Period22/05/1824/05/18

Keywords

  • Conformal predictions
  • Sentiment analysis
  • Twitter

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