O uso de IA para avaliações de produtos
Resumo
Este artigo aborda o uso de técnicas de Inteligência Artificial para a análise e síntese de avaliações de produtos. São discutidas as vantagens que a IA traz para o setor empresarial e a relevância das avaliações para as empresas e para os consumidores. Este estudo busca demonstrar como a IA pode otimizar os processos empresariais e aprimorar a tomada de decisão, para atender aos aspectos relevantes para os consumidores.
Palavras-chave:
Inteligência Artificial, Análise de Sentimento, Avaliações de Produtos
Referências
CAMPOS, A.; NUNES, F.; ANDRADE, R. Aplicação de técnicas de Processamento de Linguagem Natural na análise de avaliações de consumidores no e-commerce. Revista de Sistemas e Computação, v. 11, n. 1, 2021.
CHEVALIER, J. A.; MAYZLIN, D. The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, v. 43, n. 3, p. 345–354, 2006.
FANG, X.; ZHAN, J. Sentiment analysis using product review data. Journal of Big Data, v. 2, n. 1, p. 1–14, 2015.
FILIERI, R. What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, v. 68, n. 6, p. 1261–1270, 2015.
HE, W. et al. A novel social media competitive analytics framework with sentiment analysis and topic modeling for business intelligence. Information & Management, v. 52, n. 7, p. 801–812, 2015.
LIU, B. Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge: Cambridge University Press, 2020.
MEDHAT, W.; HASSAN, A.; KORASHY, H. Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal, v. 5, n. 4, p. 1093–1113, 2014.
MUDAMBI, S. M.; SCHUFF, D. What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, v. 34, n. 1, p. 185–200, 2010.
SPARKS, B. A.; PERKINS, H. E.; BUCKLEY, R. Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior. Tourism Management, v. 34, p. 1–9, 2013.
SUN, A.; LUO, J. Aspect-based sentiment analysis for e-commerce product reviews. Information Processing & Management, v. 59, n. 3, 2022.
ZHANG, L.; WANG, S.; LIU, B. Deep Learning for Sentiment Analysis: A Survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, v. 8, n. 4, 2018.
CHEVALIER, J. A.; MAYZLIN, D. The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, v. 43, n. 3, p. 345–354, 2006.
FANG, X.; ZHAN, J. Sentiment analysis using product review data. Journal of Big Data, v. 2, n. 1, p. 1–14, 2015.
FILIERI, R. What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, v. 68, n. 6, p. 1261–1270, 2015.
HE, W. et al. A novel social media competitive analytics framework with sentiment analysis and topic modeling for business intelligence. Information & Management, v. 52, n. 7, p. 801–812, 2015.
LIU, B. Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge: Cambridge University Press, 2020.
MEDHAT, W.; HASSAN, A.; KORASHY, H. Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal, v. 5, n. 4, p. 1093–1113, 2014.
MUDAMBI, S. M.; SCHUFF, D. What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, v. 34, n. 1, p. 185–200, 2010.
SPARKS, B. A.; PERKINS, H. E.; BUCKLEY, R. Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior. Tourism Management, v. 34, p. 1–9, 2013.
SUN, A.; LUO, J. Aspect-based sentiment analysis for e-commerce product reviews. Information Processing & Management, v. 59, n. 3, 2022.
ZHANG, L.; WANG, S.; LIU, B. Deep Learning for Sentiment Analysis: A Survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, v. 8, n. 4, 2018.
Publicado
12/11/2025
Como Citar
RIBEIRO, Gabriel Garcia; ARINOS, Victor Felix; SOCOLOSKI, Kamilly Bianca; FURTADO, Beatriz Rezende.
O uso de IA para avaliações de produtos. In: ESCOLA REGIONAL DE INFORMÁTICA DE MATO GROSSO (ERI-MT), 14. , 2025, Pontes e Lacerda/MT.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 373-377.
ISSN 2447-5386.
DOI: https://doi.org/10.5753/eri-mt.2025.17204.
