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

Munideviprasad () and Devi T ()

SPAST Reports, 2024, vol. 1, issue 3

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

Keywords: Classification; BoomSonar; Natural Language Processing (search for similar items in EconPapers)
Date: 2024
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