Using Techniment to save application log transfer time using technical Sentiment classification

Abstract

Abstract— We are coining a new term called “Techniment” which expands to Technical Sentiment, with this what we are trying to do is create a list of technical log statements of possible error condition and assign then positive toxic value. This toxic value based on each product log statement generate negative sentiment per log line which forms the basis if the logs are supposed to be further processed or not. The system or tool can be programmed with classification machine learning algorithm like stochastic dual ascent along with sentiment analysis on logs so we know which log statement belongs to which component, so if there is a bad techniment that gets flagged and we know the feature using classification