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Articles 61 - 62 of 62
Full-Text Articles in Entire DC Network
Neutrosophy, A Sentiment Analysis Model, Florentin Smarandache, Mirela Teodorescu, Daniela Gifu
Neutrosophy, A Sentiment Analysis Model, Florentin Smarandache, Mirela Teodorescu, Daniela Gifu
Branch Mathematics and Statistics Faculty and Staff Publications
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.
Uncertainty Communication Solution In Neutrosophic Key, Florentin Smarandache, Bianca Tedorescu, Mirela Teodorescu
Uncertainty Communication Solution In Neutrosophic Key, Florentin Smarandache, Bianca Tedorescu, Mirela Teodorescu
Branch Mathematics and Statistics Faculty and Staff Publications
This study is the first step of a research that points out the solving of uncertainties in process analysis. The research is based on Neutrosophy Theory (Smarandache, 1995), a new concept of states treatment with a generous applicability to sciences, like artificial intelligence (Vladareanu et al, 2014).