A product review is a customer's written or rated evaluation of a product or service. Ratings provide an overall satisfaction signal, while written comments reveal the specific experiences, strengths, and problems behind that score. section 5.0 section 5.2
Review analysis turns scattered customer opinions into business evidence. Frequency analysis can expose repeatedly praised features, recurring complaints, changing preferences, and common use cases. Generative AI can assist with initial text analysis, interpretation, coding, and summarization, but its outputs still require inspection and validation. section 5.0 section 5.3.1
A practical review-analysis workflow can:
- Separate ratings from written comments so overall satisfaction is not mistaken for an explanation of customer experience. section 5.2
- Inspect the data for disorganization, emotional language, spelling errors, and language differences before interpreting results. section 5.2.2 section 5.0
- Count recurring positive and negative terms or aspects, then relate them to customer satisfaction, product improvement, and marketing decisions. section 5.3.1
Portuguese e-commerce reviews
The olist_order_reviews_dataset.csv file contains customer reviews of products and buying experiences from post-purchase surveys. Its seven columns include identifiers, a one-to-five review score, Portuguese title and message fields, creation date, and answer timestamp. Analysis might compare repeated praise for battery life with recurring complaints about customer service, while treating language and messy text as practical considerations. section 5.2.2 section 5.3.1
