Why Sentiment Analysis-Based Metrics are Essential for Measuring Channel Performance on YouTube: An Experimental Study

Abstract

YouTube is a global social and economic platform that enables users to share videos. While many studies have conducted sentiment analyses on YouTube comments, none of these studies have focused on the necessity and potential significance of sentiment analysis-based metrics as essential or complementary tools that could serve as a \"gold standard\" for measuring the performance of both videos and channels. In this study, an experimental metric named the Sentiment Index (SI) was created to perform an experiment aimed at examining the robustness of sentiment analysis-based metrics against time parameter. To assess the degree to which this metric is affected by time parameter, a sentiment analysis experiment was conducted using VADER. The results of the experiment indicate that the Sentiment Index (SI) is influenced by time parameter to a marginal extent of 0.8%.