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.
RUMOUR 2017, June 22, Toronto, Ontario, Canada
neutrosophy, sentiment analysis, communication, true, false, uncertainty
Smarandache, Florentin; Mirela Teodorescu; and Daniela Gifu. "Neutrosophy, a Sentiment Analysis Model." RUMOUR 2017, June 22, Toronto, Ontario, Canada (2017). https://digitalrepository.unm.edu/math_fsp/425
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.