Job comment processor that detects mobbing through sentimental analysis

Abstract

One of the problems that has always existed permanently worldwide
between societies is workplace harassment and the stress it
causes, that is why countries like Mexico have created standards
to support workers such as NOM 035 so that employers have a reference on psychosocial risk factors at work: their identification, analysis and prevention. Analyzing the aforementioned norm, it requires managers to apply a mailbox to detect complaints about practices contrary to the favorable organizational environment and within the capacities of the investigation due to lack of information, there is minimal evidence that there is a digital tool that supports the workers to express themselves, that is why this research is carried out by processing the analysis of feelings or opinion mining to detect traces of workplace harassment and perceive the negativity or positivity of the comments.