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Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data

This paper takes laptops as an example to carry out research on quantitative model of brand recognition based on sentiment analysis of big data. The basic idea is to use web crawler technology to obtain the most authentic and direct information of different laptop brands from first-line consumers fr...

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Autor principal: Zhou, Lichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133927/
https://www.ncbi.nlm.nih.gov/pubmed/35645872
http://dx.doi.org/10.3389/fpsyg.2022.915443
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author Zhou, Lichun
author_facet Zhou, Lichun
author_sort Zhou, Lichun
collection PubMed
description This paper takes laptops as an example to carry out research on quantitative model of brand recognition based on sentiment analysis of big data. The basic idea is to use web crawler technology to obtain the most authentic and direct information of different laptop brands from first-line consumers from public spaces such as buyer reviews of major e-commerce platforms, including review time, text reviews, satisfaction ratings and relevant user information, etc., and then analyzes consumers’ sentimental tendencies and recognition status of the product brands. This study extracted a total of 437,815 user reviews of laptops from e-commerce platforms from January 1, 2019 to December 31, 2021, and performed data preprocessing on the obtained review data, followed by sentiment dictionary construction, attribute expansion, text quantification and algorithm evaluation. This paper analyzed the information receiving and processing hierarchy of the quantitative model of brand recognition, discussed the interactive relationship between brand recognition and consumer sentiment, discussed the brand recognition bias, style and demand in the context of big data, and performed the sentiment statistics and dimension analysis in the quantitative model of brand recognition. The study results show that the quantitative model of brand recognition based on sentiment analysis of big data can transform and map the keywords in text to word vectors in the high-dimensional semantic space by performing unsupervised machine learning on the text based on artificial neural network computer bionic metaphors; the model can accumulate each brand-related buyer review in the corresponding brand recognition dimension, so as to obtain the value of each product in each dimension of brand recognition; finally, the model will add the values of each dimension of brand recognition, that is, obtain the relevant value of the sum of each brand recognition. The results of this paper may provide a reference for further research on the quantitative model of brand recognition based on sentiment analysis of big data.
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spelling pubmed-91339272022-05-27 Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data Zhou, Lichun Front Psychol Psychology This paper takes laptops as an example to carry out research on quantitative model of brand recognition based on sentiment analysis of big data. The basic idea is to use web crawler technology to obtain the most authentic and direct information of different laptop brands from first-line consumers from public spaces such as buyer reviews of major e-commerce platforms, including review time, text reviews, satisfaction ratings and relevant user information, etc., and then analyzes consumers’ sentimental tendencies and recognition status of the product brands. This study extracted a total of 437,815 user reviews of laptops from e-commerce platforms from January 1, 2019 to December 31, 2021, and performed data preprocessing on the obtained review data, followed by sentiment dictionary construction, attribute expansion, text quantification and algorithm evaluation. This paper analyzed the information receiving and processing hierarchy of the quantitative model of brand recognition, discussed the interactive relationship between brand recognition and consumer sentiment, discussed the brand recognition bias, style and demand in the context of big data, and performed the sentiment statistics and dimension analysis in the quantitative model of brand recognition. The study results show that the quantitative model of brand recognition based on sentiment analysis of big data can transform and map the keywords in text to word vectors in the high-dimensional semantic space by performing unsupervised machine learning on the text based on artificial neural network computer bionic metaphors; the model can accumulate each brand-related buyer review in the corresponding brand recognition dimension, so as to obtain the value of each product in each dimension of brand recognition; finally, the model will add the values of each dimension of brand recognition, that is, obtain the relevant value of the sum of each brand recognition. The results of this paper may provide a reference for further research on the quantitative model of brand recognition based on sentiment analysis of big data. Frontiers Media S.A. 2022-05-12 /pmc/articles/PMC9133927/ /pubmed/35645872 http://dx.doi.org/10.3389/fpsyg.2022.915443 Text en Copyright © 2022 Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Zhou, Lichun
Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
title Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
title_full Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
title_fullStr Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
title_full_unstemmed Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
title_short Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
title_sort research on quantitative model of brand recognition based on sentiment analysis of big data
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133927/
https://www.ncbi.nlm.nih.gov/pubmed/35645872
http://dx.doi.org/10.3389/fpsyg.2022.915443
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