Identification of authors and polarized analysis of notes through the use of artificial intelligence

Abstract

The identification of authors and polarized analysis in the notes, through natural language processing, is a system capable of identifying the authors found in the note, allowing a precise identification of each author. In addition, this system incorporates sentiment and polarized analysis of the notes, which allows to appreciate the attitudes and opinions expressed in the notes, the approach integrates artificial intelligence, which not only offers an efficient solution for document management and organization, but also provides valuable information about the tone and emotional orientation of the different notes, as well as for the analysis of opinions and attitudes within a dataset. For classification, a labeling process was carried out, which consists of assigning values of -1 for negative, 0 for neutral and 1 for positive.