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

Munideviprasad, Devi T.

2023

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.

Download


Paper Citation


in Harvard Style

Munideviprasad. and T. D. (2023). Quantitative Smart Marketing Analysis Using Glove Vectors: A Boom Sonar Performance Comparison. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 116-121. DOI: 10.5220/0012570400003739


in Bibtex Style

@conference{ai4iot23,
author={Munideviprasad and Devi T.},
title={Quantitative Smart Marketing Analysis Using Glove Vectors: A Boom Sonar Performance Comparison},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={116-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012570400003739},
isbn={978-989-758-661-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Quantitative Smart Marketing Analysis Using Glove Vectors: A Boom Sonar Performance Comparison
SN - 978-989-758-661-3
AU - Munideviprasad.
AU - T. D.
PY - 2023
SP - 116
EP - 121
DO - 10.5220/0012570400003739
PB - SciTePress