Machine Learning-Driven Analysis of Online Review Subjectivity: Impact on the Consumer Purchasing Cycle and Business Strategy
Year: 2025
Type: article
Abstract: The research focuses on the role of subjectivity in online reviews, its influence on the purchasing cycle and the impact it has on businesses. Using a corpus of 100,000 reviews from the Amazon Product Reviews database, subjectivity was analyzed across ten distinct product categories. The results demonstrate that subjectivity is predominant across all categories studied, with a proportion varying between 0.84 and 0.89. A subjectivity continuum is proposed based on product groups, which can be used to guide product design and refine marketing campaigns. These findings contribute to the analysis of online reviews by going beyond simple polarity.
Author: St-Vincent Villeneuve, Alexandre
Institution: Université du Québec à Montréal
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7020692567
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