Branch Mathematics and Statistics Faculty and Staff Publications

Document Type

Article

Publication Date

6-2017

Abstract

This paper describes the importance of Neutrosophy Theory in order to find a method that could solve the uncertainties arising on discursive analysis. The aim of this pilot study is to find a procedure to diminish the uncertainties from public discourse induced, especially, by humans (politicians, journalists, etc.). We consider that Neutrosophy Theory is a sentiment analysis specific case regarding processing of the three states: positive, negative, and neutral. The study is intended to identify a method to answer to uncertainties solving in order to support politician's staff, NLP specialists, artificial intelligence researchers and generally the electors.

Publication Title

RUMOUR 2017, June 22, Toronto, Ontario, Canada

Language (ISO)

English

Keywords

neutrosophy, sentiment analysis, communication, true, false, uncertainty

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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