Quantitative Smart Marketing Analysis using Glove Vectors: A Boom Sonar Performance Comparison

Abstract

This study delves into the Smart Marketing approach, particularly using Novel Global Vectors for Word
Representation (GloVe) on a selected dataset. It also offers a comparison with the BOOMSOONAR
algorithm. The effectiveness of the Smart Marketing strategy was assessed based on accuracy. With a sample
size of 22, both the Novel GloVe and BoomSonar algorithms were assessed, utilising G power calculated at
an 80% power level. Although the Novel GloVe algorithm displayed an accuracy rate of 77.45%, it was
marginally overshadowed by BoomSonar's 78.05%. However, statistical evaluations suggest no significant
variance between the two. The p-value stood at 0.886, suggesting the mean accuracy for both algorithms fell
within a 2-standard deviation range. Thus, in terms of Smart Marketing, while the Novel GloVe had
commendable accuracy, BoomSonar slightly edged it out.